Pandas Profiling Report

Dataset statistics

Number of variables	49
Number of observations	115609
Missing cells	176925
Missing cells (%)	3.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	44.1 MiB
Average record size in memory	400.0 B

Variable types

Text	12
Categorical	9
DateTime	8
Numeric	20

Alerts

`customer_state` is highly overall correlated with `customer_zip_code_prefix`	High correlation
`customer_zip_code_prefix` is highly overall correlated with `customer_state`	High correlation
`order_purchase_month` is highly overall correlated with `order_purchase_year_month`	High correlation
`order_purchase_year` is highly overall correlated with `order_purchase_year_month`	High correlation
`order_purchase_year_month` is highly overall correlated with `order_purchase_month` and 1 other fields	High correlation
`payment_value` is highly overall correlated with `price`	High correlation
`price` is highly overall correlated with `payment_value` and 1 other fields	High correlation
`product_height_cm` is highly overall correlated with `product_volume_cm` and 1 other fields	High correlation
`product_length_cm` is highly overall correlated with `product_volume_cm` and 2 other fields	High correlation
`product_volume_cm` is highly overall correlated with `product_height_cm` and 3 other fields	High correlation
`product_weight_g` is highly overall correlated with `price` and 4 other fields	High correlation
`product_width_cm` is highly overall correlated with `product_length_cm` and 2 other fields	High correlation
`seller_state` is highly overall correlated with `seller_zip_code_prefix`	High correlation
`seller_zip_code_prefix` is highly overall correlated with `seller_state`	High correlation
`order_status` is highly imbalanced (93.4%)	Imbalance
`seller_state` is highly imbalanced (63.2%)	Imbalance
`order_delivered_carrier_date` has 1195 (1.0%) missing values	Missing
`order_delivered_customer_date` has 2400 (2.1%) missing values	Missing
`review_comment_title` has 101808 (88.1%) missing values	Missing
`review_comment_message` has 66703 (57.7%) missing values	Missing
`time_to_delivery` has 2400 (2.1%) missing values	Missing
`delivery_against_estimated` has 2400 (2.1%) missing values	Missing
`review_response_time` is highly skewed (γ1 = 24.09891986)	Skewed
`review_response_time` has 28066 (24.3%) zeros	Zeros
`delivery_against_estimated` has 1468 (1.3%) zeros	Zeros
`order_purchase_hour` has 2835 (2.5%) zeros	Zeros

Reproduction

Analysis started	2023-12-06 04:42:34.182917
Analysis finished	2023-12-06 04:43:41.471557
Duration	1 minute and 7.29 seconds
Software version	ydata-profiling vv4.6.2
Download configuration	config.json

order_id
Text

Distinct	96516
Distinct (%)	83.5%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Length

Max length	32
Median length	32
Mean length	32
Min length	32

Characters and Unicode

Total characters	3699488
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	83927 ?
Unique (%)	72.6%

Sample

1st row	e481f51cbdc54678b7cc49136f2d6af7
2nd row	e481f51cbdc54678b7cc49136f2d6af7
3rd row	e481f51cbdc54678b7cc49136f2d6af7
4th row	128e10d95713541c87cd1a2e48201934
5th row	0e7e841ddf8f8f2de2bad69267ecfbcf

Value	Count	Frequency (%)
895ab968e7bb0d5659d16cd74cd1650c	63	0.1%
fedcd9f7ccdc8cba3a18defedd1a5547	38	< 0.1%
fa65dad1b0e818e3ccc5cb0e39231352	29	< 0.1%
ccf804e764ed5650cd8759557269dc13	26	< 0.1%
c6492b842ac190db807c15aff21a7dd6	24	< 0.1%
a3725dfe487d359b5be08cac48b64ec5	24	< 0.1%
465c2e1bee4561cb39e0db8c5993aafc	24	< 0.1%
6d58638e32674bebee793a47ac4cbadc	24	< 0.1%
68986e4324f6a21481df4e6e89abcf01	24	< 0.1%
5a3b1c29a49756e75f1ef513383c0c12	22	< 0.1%
Other values (96506)	115311	99.7%

Most occurring characters

Value	Count	Frequency (%)
4	232347	6.3%
b	232260	6.3%
6	232183	6.3%
e	231974	6.3%
c	231513	6.3%
3	231489	6.3%
1	231448	6.3%
7	231435	6.3%
8	231366	6.3%
a	231122	6.2%
Other values (6)	1382351	37.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2311582	62.5%
Lowercase Letter	1387906	37.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	232347	10.1%
6	232183	10.0%
3	231489	10.0%
1	231448	10.0%
7	231435	10.0%
8	231366	10.0%
2	230768	10.0%
9	230559	10.0%
0	230074	10.0%
5	229913	9.9%

Lowercase Letter

Value	Count	Frequency (%)
b	232260	16.7%
e	231974	16.7%
c	231513	16.7%
a	231122	16.7%
f	230865	16.6%
d	230172	16.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	2311582	62.5%
Latin	1387906	37.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	232347	10.1%
6	232183	10.0%
3	231489	10.0%
1	231448	10.0%
7	231435	10.0%
8	231366	10.0%
2	230768	10.0%
9	230559	10.0%
0	230074	10.0%
5	229913	9.9%

Latin

Value	Count	Frequency (%)
b	232260	16.7%
e	231974	16.7%
c	231513	16.7%
a	231122	16.7%
f	230865	16.6%
d	230172	16.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3699488	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	232347	6.3%
b	232260	6.3%
6	232183	6.3%
e	231974	6.3%
c	231513	6.3%
3	231489	6.3%
1	231448	6.3%
7	231435	6.3%
8	231366	6.3%
a	231122	6.2%
Other values (6)	1382351	37.4%

customer_id
Text

Distinct	96516
Distinct (%)	83.5%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Length

Max length	32
Median length	32
Mean length	32
Min length	32

Characters and Unicode

Total characters	3699488
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	83927 ?
Unique (%)	72.6%

Sample

1st row	9ef432eb6251297304e76186b10a928d
2nd row	9ef432eb6251297304e76186b10a928d
3rd row	9ef432eb6251297304e76186b10a928d
4th row	a20e8105f23924cd00833fd87daa0831
5th row	26c7ac168e1433912a51b924fbd34d34

Value	Count	Frequency (%)
270c23a11d024a44c896d1894b261a83	63	0.1%
13aa59158da63ba0e93ec6ac2c07aacb	38	< 0.1%
9af2372a1e49340278e7c1ef8d749f34	29	< 0.1%
92cd3ec6e2d643d4ebd0e3d6238f69e2	26	< 0.1%
6ee2f17e3b6c33d6a9557f280edd2925	24	< 0.1%
d22f25a9fadfb1abbc2e29395b1239f4	24	< 0.1%
63b964e79dee32a3587651701a2b8dbf	24	< 0.1%
2ba91e12e5e4c9f56b82b86d9031d329	24	< 0.1%
86cc80fef09f7f39df4b0dbce48e81cb	24	< 0.1%
be1c4e52bb71e0c54b11a26b8e8d59f2	22	< 0.1%
Other values (96506)	115311	99.7%

Most occurring characters

Value	Count	Frequency (%)
2	231848	6.3%
f	231815	6.3%
5	231684	6.3%
c	231607	6.3%
6	231574	6.3%
1	231546	6.3%
e	231206	6.2%
8	231191	6.2%
a	231174	6.2%
d	231155	6.2%
Other values (6)	1384688	37.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2311390	62.5%
Lowercase Letter	1388098	37.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	231848	10.0%
5	231684	10.0%
6	231574	10.0%
1	231546	10.0%
8	231191	10.0%
9	231116	10.0%
3	231114	10.0%
7	231035	10.0%
4	230174	10.0%
0	230108	10.0%

Lowercase Letter

Value	Count	Frequency (%)
f	231815	16.7%
c	231607	16.7%
e	231206	16.7%
a	231174	16.7%
d	231155	16.7%
b	231141	16.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	2311390	62.5%
Latin	1388098	37.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	231848	10.0%
5	231684	10.0%
6	231574	10.0%
1	231546	10.0%
8	231191	10.0%
9	231116	10.0%
3	231114	10.0%
7	231035	10.0%
4	230174	10.0%
0	230108	10.0%

Latin

Value	Count	Frequency (%)
f	231815	16.7%
c	231607	16.7%
e	231206	16.7%
a	231174	16.7%
d	231155	16.7%
b	231141	16.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3699488	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	231848	6.3%
f	231815	6.3%
5	231684	6.3%
c	231607	6.3%
6	231574	6.3%
1	231546	6.3%
e	231206	6.2%
8	231191	6.2%
a	231174	6.2%
d	231155	6.2%
Other values (6)	1384688	37.4%

order_status
Categorical

IMBALANCE

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

delivered	113210
shipped	1138
canceled	536
invoiced	358
processing	357
Other values (2)	10

Length

Max length	11
Median length	9
Mean length	8.9757631
Min length	7

Characters and Unicode

Total characters	1037679
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	delivered
2nd row	delivered
3rd row	delivered
4th row	delivered
5th row	delivered

Common Values

Value	Count	Frequency (%)
delivered	113210	97.9%
shipped	1138	1.0%
canceled	536	0.5%
invoiced	358	0.3%
processing	357	0.3%
unavailable	7	< 0.1%
approved	3	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
delivered	113210	97.9%
shipped	1138	1.0%
canceled	536	0.5%
invoiced	358	0.3%
processing	357	0.3%
unavailable	7	< 0.1%
approved	3	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	342565	33.0%
d	228455	22.0%
i	115428	11.1%
l	113760	11.0%
v	113578	10.9%
r	113570	10.9%
p	2639	0.3%
s	1852	0.2%
c	1787	0.2%
n	1258	0.1%
Other values (6)	2787	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1037679	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	342565	33.0%
d	228455	22.0%
i	115428	11.1%
l	113760	11.0%
v	113578	10.9%
r	113570	10.9%
p	2639	0.3%
s	1852	0.2%
c	1787	0.2%
n	1258	0.1%
Other values (6)	2787	0.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1037679	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	342565	33.0%
d	228455	22.0%
i	115428	11.1%
l	113760	11.0%
v	113578	10.9%
r	113570	10.9%
p	2639	0.3%
s	1852	0.2%
c	1787	0.2%
n	1258	0.1%
Other values (6)	2787	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1037679	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	342565	33.0%
d	228455	22.0%
i	115428	11.1%
l	113760	11.0%
v	113578	10.9%
r	113570	10.9%
p	2639	0.3%
s	1852	0.2%
c	1787	0.2%
n	1258	0.1%
Other values (6)	2787	0.3%

order_purchase_timestamp
Date

Distinct	95989
Distinct (%)	83.0%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Minimum	2016-09-04 21:15:19
Maximum	2018-09-03 09:06:57

Histogram

Histogram with fixed size bins (bins=50)

order_approved_at
Date

Distinct	88332
Distinct (%)	76.4%
Missing	14
Missing (%)	< 0.1%
Memory size	1.8 MiB

Minimum	2016-10-04 09:43:32
Maximum	2018-09-03 17:40:06

Histogram

Histogram with fixed size bins (bins=50)

order_delivered_carrier_date
Date

MISSING

Distinct	79241
Distinct (%)	69.3%
Missing	1195
Missing (%)	1.0%
Memory size	1.8 MiB

Minimum	2016-10-08 10:34:01
Maximum	2018-09-11 19:48:28

Histogram

Histogram with fixed size bins (bins=50)

order_delivered_customer_date
Date

MISSING

Distinct	93702
Distinct (%)	82.8%
Missing	2400
Missing (%)	2.1%
Memory size	1.8 MiB

Minimum	2016-10-11 13:46:32
Maximum	2018-10-17 13:22:46

Histogram

Histogram with fixed size bins (bins=50)

order_estimated_delivery_date
Date

Distinct	449
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Minimum	2016-10-20 00:00:00
Maximum	2018-10-25 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

customer_unique_id
Text

Distinct	93396
Distinct (%)	80.8%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Length

Max length	32
Median length	32
Mean length	32
Min length	32

Characters and Unicode

Total characters	3699488
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	79377 ?
Unique (%)	68.7%

Sample

1st row	7c396fd4830fd04220f754e42b4e5bff
2nd row	7c396fd4830fd04220f754e42b4e5bff
3rd row	7c396fd4830fd04220f754e42b4e5bff
4th row	3a51803cc0d012c3b5dc8b7528cb05f7
5th row	ef0996a1a279c26e7ecbd737be23d235

Value	Count	Frequency (%)
9a736b248f67d166d2fbb006bcb877c3	75	0.1%
6fbc7cdadbb522125f4b27ae9dee4060	38	< 0.1%
f9ae226291893fda10af7965268fb7f6	35	< 0.1%
8af7ac63b2efbcbd88e5b11505e8098a	29	< 0.1%
569aa12b73b5f7edeaa6f2a01603e381	26	< 0.1%
d97b3cfb22b0d6b25ac9ed4e9c2d481b	24	< 0.1%
5419a7c9b86a43d8140e2939cd2c2f7e	24	< 0.1%
db1af3fd6b23ac3873ef02619d548f9c	24	< 0.1%
90807fdb59eec2152bc977feeb6e47e7	24	< 0.1%
85963fd37bfd387aa6d915d8a1065486	24	< 0.1%
Other values (93386)	115286	99.7%

Most occurring characters

Value	Count	Frequency (%)
6	232253	6.3%
b	231885	6.3%
1	231813	6.3%
a	231488	6.3%
d	231353	6.3%
3	231341	6.3%
e	231271	6.3%
8	231179	6.2%
2	231112	6.2%
5	231087	6.2%
Other values (6)	1384706	37.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2312012	62.5%
Lowercase Letter	1387476	37.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	232253	10.0%
1	231813	10.0%
3	231341	10.0%
8	231179	10.0%
2	231112	10.0%
5	231087	10.0%
9	231084	10.0%
7	231012	10.0%
0	230821	10.0%
4	230310	10.0%

Lowercase Letter

Value	Count	Frequency (%)
b	231885	16.7%
a	231488	16.7%
d	231353	16.7%
e	231271	16.7%
f	230923	16.6%
c	230556	16.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	2312012	62.5%
Latin	1387476	37.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	232253	10.0%
1	231813	10.0%
3	231341	10.0%
8	231179	10.0%
2	231112	10.0%
5	231087	10.0%
9	231084	10.0%
7	231012	10.0%
0	230821	10.0%
4	230310	10.0%

Latin

Value	Count	Frequency (%)
b	231885	16.7%
a	231488	16.7%
d	231353	16.7%
e	231271	16.7%
f	230923	16.6%
c	230556	16.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3699488	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
6	232253	6.3%
b	231885	6.3%
1	231813	6.3%
a	231488	6.3%
d	231353	6.3%
3	231341	6.3%
e	231271	6.3%
8	231179	6.2%
2	231112	6.2%
5	231087	6.2%
Other values (6)	1384706	37.4%

customer_zip_code_prefix
Real number (ℝ)

HIGH CORRELATION

Distinct	14907
Distinct (%)	12.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35061.538

Minimum	1003
Maximum	99980
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	1003
5-th percentile	3286
Q1	11310
median	24241
Q3	58745
95-th percentile	90620
Maximum	99980
Range	98977
Interquartile range (IQR)	47435

Descriptive statistics

Standard deviation	29841.672
Coefficient of variation (CV)	0.85112273
Kurtosis	-0.78410177
Mean	35061.538
Median Absolute Deviation (MAD)	16231
Skewness	0.78436422
Sum	4.0534293 × 10⁹
Variance	8.9052537 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24220	154	0.1%
22793	151	0.1%
22790	150	0.1%
24230	138	0.1%
22775	126	0.1%
35162	124	0.1%
29101	112	0.1%
11740	110	0.1%
13087	107	0.1%
36570	104	0.1%
Other values (14897)	114333	98.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1003	1	< 0.1%
1004	2	< 0.1%
1005	6	< 0.1%
1006	2	< 0.1%
1007	4	< 0.1%
1008	3	< 0.1%
1009	8	< 0.1%
1011	6	< 0.1%
1012	2	< 0.1%
1013	3	< 0.1%

Value	Count	Frequency (%)
99980	3	< 0.1%
99970	1	< 0.1%
99965	2	< 0.1%
99960	1	< 0.1%
99955	3	< 0.1%
99950	9	< 0.1%
99940	2	< 0.1%
99930	5	< 0.1%
99925	1	< 0.1%
99920	1	< 0.1%

customer_city
Text

Distinct	4093
Distinct (%)	3.5%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Length

Max length	32
Median length	27
Mean length	10.332855
Min length	3

Characters and Unicode

Total characters	1194571
Distinct characters	56
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1042 ?
Unique (%)	0.9%

Sample

1st row	Sao Paulo
2nd row	Sao Paulo
3rd row	Sao Paulo
4th row	Sao Paulo
5th row	Sao Paulo

Value	Count	Frequency (%)
sao	24620	12.1%
paulo	18348	9.1%
de	11267	5.6%
rio	9627	4.8%
janeiro	8022	4.0%
do	4964	2.4%
belo	3269	1.6%
horizonte	3224	1.6%
brasilia	2444	1.2%
porto	1942	1.0%
Other values (3268)	114916	56.7%

Most occurring characters

Value	Count	Frequency (%)
a	188530	15.8%
o	145141	12.2%
	87034	7.3%
i	85625	7.2%
e	76426	6.4%
r	75382	6.3%
u	51224	4.3%
n	49130	4.1%
l	48521	4.1%
s	37481	3.1%
Other values (46)	350077	29.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	903815	75.7%
Uppercase Letter	203181	17.0%
Space Separator	87034	7.3%
Dash Punctuation	281	< 0.1%
Other Punctuation	258	< 0.1%
Decimal Number	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	188530	20.9%
o	145141	16.1%
i	85625	9.5%
e	76426	8.5%
r	75382	8.3%
u	51224	5.7%
n	49130	5.4%
l	48521	5.4%
s	37481	4.1%
t	35486	3.9%
Other values (16)	110869	12.3%

Uppercase Letter

Value	Count	Frequency (%)
S	35724	17.6%
P	30362	14.9%
D	22298	11.0%
C	17611	8.7%
J	14274	7.0%
R	13148	6.5%
B	12820	6.3%
A	8508	4.2%
M	7204	3.5%
G	7169	3.5%
Other values (15)	34063	16.8%

Decimal Number

Value	Count	Frequency (%)
1	1	50.0%
4	1	50.0%

Space Separator

Value	Count	Frequency (%)
	87034	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	281	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	258	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1106996	92.7%
Common	87575	7.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	188530	17.0%
o	145141	13.1%
i	85625	7.7%
e	76426	6.9%
r	75382	6.8%
u	51224	4.6%
n	49130	4.4%
l	48521	4.4%
s	37481	3.4%
S	35724	3.2%
Other values (41)	313812	28.3%

Common

Value	Count	Frequency (%)
	87034	99.4%
-	281	0.3%
'	258	0.3%
1	1	< 0.1%
4	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1194571	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	188530	15.8%
o	145141	12.2%
	87034	7.3%
i	85625	7.2%
e	76426	6.4%
r	75382	6.3%
u	51224	4.3%
n	49130	4.1%
l	48521	4.1%
s	37481	3.1%
Other values (46)	350077	29.3%

customer_state
Categorical

HIGH CORRELATION

Distinct	27
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

SP	48797
RJ	14987
MG	13429
RS	6413
PR	5879
Other values (22)	26104

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	231218
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SP
2nd row	SP
3rd row	SP
4th row	SP
5th row	SP

Common Values

Value	Count	Frequency (%)
SP	48797	42.2%
RJ	14987	13.0%
MG	13429	11.6%
RS	6413	5.5%
PR	5879	5.1%
SC	4218	3.6%
BA	3942	3.4%
DF	2449	2.1%
GO	2359	2.0%
ES	2300	2.0%
Other values (17)	10836	9.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sp	48797	42.2%
rj	14987	13.0%
mg	13429	11.6%
rs	6413	5.5%
pr	5879	5.1%
sc	4218	3.6%
ba	3942	3.4%
df	2449	2.1%
go	2359	2.0%
es	2300	2.0%
Other values (17)	10836	9.4%

Most occurring characters

Value	Count	Frequency (%)
S	62966	27.2%
P	58871	25.5%
R	28218	12.2%
M	16380	7.1%
G	15788	6.8%
J	14987	6.5%
A	6654	2.9%
E	6071	2.6%
C	5838	2.5%
B	4561	2.0%
Other values (7)	10884	4.7%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	231218	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	62966	27.2%
P	58871	25.5%
R	28218	12.2%
M	16380	7.1%
G	15788	6.8%
J	14987	6.5%
A	6654	2.9%
E	6071	2.6%
C	5838	2.5%
B	4561	2.0%
Other values (7)	10884	4.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	231218	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
S	62966	27.2%
P	58871	25.5%
R	28218	12.2%
M	16380	7.1%
G	15788	6.8%
J	14987	6.5%
A	6654	2.9%
E	6071	2.6%
C	5838	2.5%
B	4561	2.0%
Other values (7)	10884	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	231218	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
S	62966	27.2%
P	58871	25.5%
R	28218	12.2%
M	16380	7.1%
G	15788	6.8%
J	14987	6.5%
A	6654	2.9%
E	6071	2.6%
C	5838	2.5%
B	4561	2.0%
Other values (7)	10884	4.7%

order_item_id
Real number (ℝ)

Distinct	21
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.194535

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	21
Range	20
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.68592588
Coefficient of variation (CV)	0.57421998
Kurtosis	93.440808
Mean	1.194535
Median Absolute Deviation (MAD)	0
Skewness	7.195206
Sum	138099
Variance	0.47049432
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
1	101340	87.7%
2	10055	8.7%
3	2326	2.0%
4	969	0.8%
5	458	0.4%
6	256	0.2%
7	60	0.1%
8	35	< 0.1%
9	28	< 0.1%
10	25	< 0.1%
Other values (11)	57	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	101340	87.7%
2	10055	8.7%
3	2326	2.0%
4	969	0.8%
5	458	0.4%
6	256	0.2%
7	60	0.1%
8	35	< 0.1%
9	28	< 0.1%
10	25	< 0.1%

Value	Count	Frequency (%)
21	1	< 0.1%
20	2	< 0.1%
19	2	< 0.1%
18	2	< 0.1%
17	2	< 0.1%
16	2	< 0.1%
15	4	< 0.1%
14	6	< 0.1%
13	7	< 0.1%
12	12	< 0.1%

product_id
Text

Distinct	32171
Distinct (%)	27.8%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Length

Max length	32
Median length	32
Mean length	32
Min length	32

Characters and Unicode

Total characters	3699488
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16932 ?
Unique (%)	14.6%

Sample

1st row	87285b34884572647811a353c7ac498a
2nd row	87285b34884572647811a353c7ac498a
3rd row	87285b34884572647811a353c7ac498a
4th row	87285b34884572647811a353c7ac498a
5th row	87285b34884572647811a353c7ac498a

Value	Count	Frequency (%)
aca2eb7d00ea1a7b8ebd4e68314663af	533	0.5%
99a4788cb24856965c36a24e339b6058	517	0.4%
422879e10f46682990de24d770e7f83d	507	0.4%
389d119b48cf3043d311335e499d9c6b	405	0.4%
368c6c730842d78016ad823897a372db	395	0.3%
53759a2ecddad2bb87a079a1f1519f73	389	0.3%
d1c427060a0f73f6b889a5c7c61f2ac4	354	0.3%
53b36df67ebb7c41585e8d54d6772e08	324	0.3%
154e7e31ebfa092203795c972e5804a6	294	0.3%
3dd2a17168ec895c781a9191c1e95ad7	276	0.2%
Other values (32161)	111615	96.5%

Most occurring characters

Value	Count	Frequency (%)
3	237911	6.4%
9	235951	6.4%
e	233656	6.3%
7	233105	6.3%
8	232719	6.3%
4	231409	6.3%
a	231308	6.3%
c	231075	6.2%
2	230954	6.2%
6	230872	6.2%
Other values (6)	1370528	37.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2321899	62.8%
Lowercase Letter	1377589	37.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	237911	10.2%
9	235951	10.2%
7	233105	10.0%
8	232719	10.0%
4	231409	10.0%
2	230954	9.9%
6	230872	9.9%
0	230822	9.9%
5	229692	9.9%
1	228464	9.8%

Lowercase Letter

Value	Count	Frequency (%)
e	233656	17.0%
a	231308	16.8%
c	231075	16.8%
b	229587	16.7%
d	227350	16.5%
f	224613	16.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	2321899	62.8%
Latin	1377589	37.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	237911	10.2%
9	235951	10.2%
7	233105	10.0%
8	232719	10.0%
4	231409	10.0%
2	230954	9.9%
6	230872	9.9%
0	230822	9.9%
5	229692	9.9%
1	228464	9.8%

Latin

Value	Count	Frequency (%)
e	233656	17.0%
a	231308	16.8%
c	231075	16.8%
b	229587	16.7%
d	227350	16.5%
f	224613	16.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3699488	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	237911	6.4%
9	235951	6.4%
e	233656	6.3%
7	233105	6.3%
8	232719	6.3%
4	231409	6.3%
a	231308	6.3%
c	231075	6.2%
2	230954	6.2%
6	230872	6.2%
Other values (6)	1370528	37.0%

seller_id
Text

Distinct	3028
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Length

Max length	32
Median length	32
Mean length	32
Min length	32

Characters and Unicode

Total characters	3699488
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	485 ?
Unique (%)	0.4%

Sample

1st row	3504c0cb71d7fa48d967e0e4c94d59d9
2nd row	3504c0cb71d7fa48d967e0e4c94d59d9
3rd row	3504c0cb71d7fa48d967e0e4c94d59d9
4th row	3504c0cb71d7fa48d967e0e4c94d59d9
5th row	3504c0cb71d7fa48d967e0e4c94d59d9

Value	Count	Frequency (%)
4a3ca9315b744ce9f8e9374361493884	2128	1.8%
6560211a19b47992c3666cc44a7e94c0	2111	1.8%
1f50f920176fa81dab994f9023523100	2009	1.7%
cc419e0650a3c5ba77189a1882b7556a	1885	1.6%
da8622b14eb17ae2831f4ac5b9dab84a	1656	1.4%
955fee9216a65b617aa5c0531780ce60	1517	1.3%
1025f0e2d44d7041d6cf58b6550e0bfa	1465	1.3%
7c67e1448b00f6e969d365cea6b010ab	1454	1.3%
7a67c85e85bb2ce8582c35f2203ad736	1236	1.1%
ea8482cd71df3c1969d7b9473ff13abc	1233	1.1%
Other values (3018)	98915	85.6%

Most occurring characters

Value	Count	Frequency (%)
1	251950	6.8%
c	243876	6.6%
4	243091	6.6%
6	238193	6.4%
0	237394	6.4%
a	236721	6.4%
b	235816	6.4%
3	235558	6.4%
9	228810	6.2%
2	227464	6.1%
Other values (6)	1320615	35.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2339688	63.2%
Lowercase Letter	1359800	36.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	251950	10.8%
4	243091	10.4%
6	238193	10.2%
0	237394	10.1%
3	235558	10.1%
9	228810	9.8%
2	227464	9.7%
8	226366	9.7%
5	225942	9.7%
7	224920	9.6%

Lowercase Letter

Value	Count	Frequency (%)
c	243876	17.9%
a	236721	17.4%
b	235816	17.3%
e	216428	15.9%
f	214706	15.8%
d	212253	15.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	2339688	63.2%
Latin	1359800	36.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	251950	10.8%
4	243091	10.4%
6	238193	10.2%
0	237394	10.1%
3	235558	10.1%
9	228810	9.8%
2	227464	9.7%
8	226366	9.7%
5	225942	9.7%
7	224920	9.6%

Latin

Value	Count	Frequency (%)
c	243876	17.9%
a	236721	17.4%
b	235816	17.3%
e	216428	15.9%
f	214706	15.8%
d	212253	15.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3699488	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	251950	6.8%
c	243876	6.6%
4	243091	6.6%
6	238193	6.4%
0	237394	6.4%
a	236721	6.4%
b	235816	6.4%
3	235558	6.4%
9	228810	6.2%
2	227464	6.1%
Other values (6)	1320615	35.7%

shipping_limit_date
Date

Distinct	91386
Distinct (%)	79.0%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Minimum	2016-09-19 00:15:34
Maximum	2020-04-09 22:35:08

Histogram

Histogram with fixed size bins (bins=50)

price
Real number (ℝ)

HIGH CORRELATION

Distinct	5879
Distinct (%)	5.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	120.61985

Minimum	0.85
Maximum	6735
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0.85
5-th percentile	17
Q1	39.9
median	74.9
Q3	134.9
95-th percentile	349.9
Maximum	6735
Range	6734.15
Interquartile range (IQR)	95

Descriptive statistics

Standard deviation	182.65348
Coefficient of variation (CV)	1.5142904
Kurtosis	107.9051
Mean	120.61985
Median Absolute Deviation (MAD)	42
Skewness	7.6154182
Sum	13944740
Variance	33362.292
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59.9	2574	2.2%
69.9	2096	1.8%
49.9	2013	1.7%
89.9	1604	1.4%
99.9	1505	1.3%
29.9	1362	1.2%
39.9	1325	1.1%
79.9	1266	1.1%
19.9	1263	1.1%
29.99	1204	1.0%
Other values (5869)	99397	86.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.85	3	< 0.1%
1.2	20	< 0.1%
2.2	2	< 0.1%
2.29	1	< 0.1%
2.9	1	< 0.1%
2.99	1	< 0.1%
3.06	3	< 0.1%
3.49	3	< 0.1%
3.5	7	< 0.1%
3.54	1	< 0.1%

Value	Count	Frequency (%)
6735	1	< 0.1%
6499	1	< 0.1%
4799	1	< 0.1%
4690	1	< 0.1%
4590	1	< 0.1%
4399.87	1	< 0.1%
4099.99	1	< 0.1%
4059	1	< 0.1%
3999.9	1	< 0.1%
3999	2	< 0.1%

freight_value
Real number (ℝ)

Distinct	6954
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20.05688

Minimum	0
Maximum	409.68
Zeros	387
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	7.78
Q1	13.08
median	16.32
Q3	21.21
95-th percentile	45.31
Maximum	409.68
Range	409.68
Interquartile range (IQR)	8.13

Descriptive statistics

Standard deviation	15.836184
Coefficient of variation (CV)	0.78956371
Kurtosis	58.250048
Mean	20.05688
Median Absolute Deviation (MAD)	3.63
Skewness	5.5602128
Sum	2318755.8
Variance	250.78473
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15.1	3754	3.2%
7.78	2281	2.0%
11.85	1948	1.7%
14.1	1939	1.7%
18.23	1599	1.4%
7.39	1554	1.3%
16.11	1185	1.0%
15.23	1041	0.9%
8.72	950	0.8%
16.79	902	0.8%
Other values (6944)	98456	85.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	387	0.3%
0.01	4	< 0.1%
0.02	3	< 0.1%
0.03	14	< 0.1%
0.04	4	< 0.1%
0.05	3	< 0.1%
0.06	13	< 0.1%
0.07	1	< 0.1%
0.08	12	< 0.1%
0.09	6	< 0.1%

Value	Count	Frequency (%)
409.68	1	< 0.1%
375.28	2	< 0.1%
339.59	1	< 0.1%
338.3	1	< 0.1%
322.1	1	< 0.1%
321.88	1	< 0.1%
321.46	1	< 0.1%
317.47	1	< 0.1%
314.4	1	< 0.1%
314.02	1	< 0.1%

payment_sequential
Real number (ℝ)

Distinct	29
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.093747

Minimum	1
Maximum	29
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	1
Maximum	29
Range	28
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.72984871
Coefficient of variation (CV)	0.66729206
Kurtosis	350.44021
Mean	1.093747
Median Absolute Deviation (MAD)	0
Skewness	16.001768
Sum	126447
Variance	0.53267914
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=29)

Value	Count	Frequency (%)
1	110662	95.7%
2	3298	2.9%
3	636	0.6%
4	307	0.3%
5	183	0.2%
6	127	0.1%
7	88	0.1%
8	58	0.1%
9	47	< 0.1%
10	40	< 0.1%
Other values (19)	163	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	110662	95.7%
2	3298	2.9%
3	636	0.6%
4	307	0.3%
5	183	0.2%
6	127	0.1%
7	88	0.1%
8	58	0.1%
9	47	< 0.1%
10	40	< 0.1%

Value	Count	Frequency (%)
29	1	< 0.1%
28	1	< 0.1%
27	1	< 0.1%
26	2	< 0.1%
25	2	< 0.1%
24	2	< 0.1%
23	2	< 0.1%
22	3	< 0.1%
21	6	< 0.1%
20	6	< 0.1%

payment_type
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Credit Card	85278
Boleto	22510
Voucher	6162
Debit Card	1659

Length

Max length	11
Median length	11
Mean length	9.7989084
Min length	6

Characters and Unicode

Total characters	1132842
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Credit Card
2nd row	Voucher
3rd row	Voucher
4th row	Credit Card
5th row	Credit Card

Common Values

Value	Count	Frequency (%)
Credit Card	85278	73.8%
Boleto	22510	19.5%
Voucher	6162	5.3%
Debit Card	1659	1.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
card	86937	42.9%
credit	85278	42.1%
boleto	22510	11.1%
voucher	6162	3.0%
debit	1659	0.8%

Most occurring characters

Value	Count	Frequency (%)
r	178377	15.7%
C	172215	15.2%
d	172215	15.2%
e	115609	10.2%
t	109447	9.7%
i	86937	7.7%
	86937	7.7%
a	86937	7.7%
o	51182	4.5%
l	22510	2.0%
Other values (7)	50476	4.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	843359	74.4%
Uppercase Letter	202546	17.9%
Space Separator	86937	7.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	178377	21.2%
d	172215	20.4%
e	115609	13.7%
t	109447	13.0%
i	86937	10.3%
a	86937	10.3%
o	51182	6.1%
l	22510	2.7%
u	6162	0.7%
c	6162	0.7%
Other values (2)	7821	0.9%

Uppercase Letter

Value	Count	Frequency (%)
C	172215	85.0%
B	22510	11.1%
V	6162	3.0%
D	1659	0.8%

Space Separator

Value	Count	Frequency (%)
	86937	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1045905	92.3%
Common	86937	7.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	178377	17.1%
C	172215	16.5%
d	172215	16.5%
e	115609	11.1%
t	109447	10.5%
i	86937	8.3%
a	86937	8.3%
o	51182	4.9%
l	22510	2.2%
B	22510	2.2%
Other values (6)	27966	2.7%

Common

Value	Count	Frequency (%)
	86937	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1132842	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	178377	15.7%
C	172215	15.2%
d	172215	15.2%
e	115609	10.2%
t	109447	9.7%
i	86937	7.7%
	86937	7.7%
a	86937	7.7%
o	51182	4.5%
l	22510	2.0%
Other values (7)	50476	4.5%

payment_installments
Real number (ℝ)

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.9462326

Minimum	0
Maximum	24
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	4
95-th percentile	10
Maximum	24
Range	24
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.7810871
Coefficient of variation (CV)	0.94394691
Kurtosis	2.5137681
Mean	2.9462326
Median Absolute Deviation (MAD)	1
Skewness	1.6181717
Sum	340611
Variance	7.7344456
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
1	57599	49.8%
2	13404	11.6%
3	11551	10.0%
4	7855	6.8%
10	6785	5.9%
5	5928	5.1%
8	5013	4.3%
6	4546	3.9%
7	1789	1.5%
9	710	0.6%
Other values (14)	429	0.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	< 0.1%
1	57599	49.8%
2	13404	11.6%
3	11551	10.0%
4	7855	6.8%
5	5928	5.1%
6	4546	3.9%
7	1789	1.5%
8	5013	4.3%
9	710	0.6%

Value	Count	Frequency (%)
24	34	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
21	6	< 0.1%
20	20	< 0.1%
18	38	< 0.1%
17	7	< 0.1%
16	7	< 0.1%
15	91	0.1%
14	16	< 0.1%

payment_value
Real number (ℝ)

HIGH CORRELATION

Distinct	28657
Distinct (%)	24.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	172.38738

Minimum	0
Maximum	13664.08
Zeros	6
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	27.23
Q1	60.87
median	108.05
Q3	189.48
95-th percentile	514.98
Maximum	13664.08
Range	13664.08
Interquartile range (IQR)	128.61

Descriptive statistics

Standard deviation	265.87397
Coefficient of variation (CV)	1.5423053
Kurtosis	524.94523
Mean	172.38738
Median Absolute Deviation (MAD)	56.67
Skewness	14.306544
Sum	19929532
Variance	70688.967
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	338	0.3%
100	285	0.2%
20	283	0.2%
77.57	249	0.2%
35	163	0.1%
73.34	157	0.1%
30	134	0.1%
116.94	130	0.1%
56.78	120	0.1%
155.14	119	0.1%
Other values (28647)	113631	98.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6	< 0.1%
0.01	6	< 0.1%
0.03	2	< 0.1%
0.05	2	< 0.1%
0.08	2	< 0.1%
0.09	1	< 0.1%
0.1	3	< 0.1%
0.11	2	< 0.1%
0.13	1	< 0.1%
0.14	4	< 0.1%

Value	Count	Frequency (%)
13664.08	8	< 0.1%
7274.88	4	< 0.1%
6929.31	1	< 0.1%
6726.66	1	< 0.1%
6081.54	6	< 0.1%
4950.34	1	< 0.1%
4809.44	2	< 0.1%
4764.34	1	< 0.1%
4681.78	1	< 0.1%
4513.32	1	< 0.1%

review_id
Text

Distinct	96319
Distinct (%)	83.3%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Length

Max length	32
Median length	32
Mean length	32
Min length	32

Characters and Unicode

Total characters	3699488
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	83596 ?
Unique (%)	72.3%

Sample

1st row	a54f0611adc9ed256b57ede6b6eb5114
2nd row	a54f0611adc9ed256b57ede6b6eb5114
3rd row	a54f0611adc9ed256b57ede6b6eb5114
4th row	b46f1e34512b0f4c74a72398b03ca788
5th row	dc90f19c2806f1abba9e72ad3c350073

Value	Count	Frequency (%)
eef5dbca8d37dfce6db7d7b16dd0525e	63	0.1%
7145a6f0d38ec713897856cbdcfcdb7f	38	< 0.1%
f28281373ab8815bafafe371218f02ce	29	< 0.1%
8823bba1e3301fee652eb06de8ef9435	26	< 0.1%
b79b22bb50f78f1afe361661011fd892	24	< 0.1%
b5292206f96cd5d97359940203a0b510	24	< 0.1%
b0c2f8c122ebef9f77753f7d167cf634	24	< 0.1%
cc074f1c33940c4f0dd904705f98e39e	24	< 0.1%
7e568736c98c553aea896a5dca746d5a	22	< 0.1%
6fe49ee0a2b00dddf7ebddb5847f9283	21	< 0.1%
Other values (96309)	115314	99.7%

Most occurring characters

Value	Count	Frequency (%)
a	232033	6.3%
6	232011	6.3%
8	231576	6.3%
5	231572	6.3%
d	231486	6.3%
f	231421	6.3%
b	231386	6.3%
1	231303	6.3%
0	231222	6.3%
2	231089	6.2%
Other values (6)	1384389	37.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2311211	62.5%
Lowercase Letter	1388277	37.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	232011	10.0%
8	231576	10.0%
5	231572	10.0%
1	231303	10.0%
0	231222	10.0%
2	231089	10.0%
7	230957	10.0%
9	230772	10.0%
3	230468	10.0%
4	230241	10.0%

Lowercase Letter

Value	Count	Frequency (%)
a	232033	16.7%
d	231486	16.7%
f	231421	16.7%
b	231386	16.7%
e	231008	16.6%
c	230943	16.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	2311211	62.5%
Latin	1388277	37.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	232011	10.0%
8	231576	10.0%
5	231572	10.0%
1	231303	10.0%
0	231222	10.0%
2	231089	10.0%
7	230957	10.0%
9	230772	10.0%
3	230468	10.0%
4	230241	10.0%

Latin

Value	Count	Frequency (%)
a	232033	16.7%
d	231486	16.7%
f	231421	16.7%
b	231386	16.7%
e	231008	16.6%
c	230943	16.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3699488	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	232033	6.3%
6	232011	6.3%
8	231576	6.3%
5	231572	6.3%
d	231486	6.3%
f	231421	6.3%
b	231386	6.3%
1	231303	6.3%
0	231222	6.3%
2	231089	6.2%
Other values (6)	1384389	37.4%

review_score
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

5	65374
4	21951
1	14546
3	9718
2	4020

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	115609
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	4
5th row	5

Common Values

Value	Count	Frequency (%)
5	65374	56.5%
4	21951	19.0%
1	14546	12.6%
3	9718	8.4%
2	4020	3.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
5	65374	56.5%
4	21951	19.0%
1	14546	12.6%
3	9718	8.4%
2	4020	3.5%

Most occurring characters

Value	Count	Frequency (%)
5	65374	56.5%
4	21951	19.0%
1	14546	12.6%
3	9718	8.4%
2	4020	3.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	115609	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	65374	56.5%
4	21951	19.0%
1	14546	12.6%
3	9718	8.4%
2	4020	3.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	115609	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
5	65374	56.5%
4	21951	19.0%
1	14546	12.6%
3	9718	8.4%
2	4020	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	115609	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
5	65374	56.5%
4	21951	19.0%
1	14546	12.6%
3	9718	8.4%
2	4020	3.5%

review_comment_title
Text

MISSING

Distinct	4477
Distinct (%)	32.4%
Missing	101808
Missing (%)	88.1%
Memory size	1.8 MiB

Length

Max length	26
Median length	20
Mean length	12.187523
Min length	1

Characters and Unicode

Total characters	168200
Distinct characters	125
Distinct categories	14 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3063 ?
Unique (%)	22.2%

Sample

1st row	Pedido recebido corretame
2nd row	Ótimo
3rd row	ok, muito profissional
4th row	Ótimo
5th row	Tenho uma reclamação

Value	Count	Frequency (%)
recomendo	2442	9.3%
produto	1541	5.8%
bom	1512	5.7%
muito	1036	3.9%
super	1033	3.9%
não	904	3.4%
ótimo	799	3.0%
excelente	763	2.9%
entrega	698	2.6%
recebi	435	1.7%
Other values (2076)	15191	57.6%

Most occurring characters

Value	Count	Frequency (%)
o	20935	12.4%
e	17995	10.7%
	14939	8.9%
r	9698	5.8%
t	9295	5.5%
a	8991	5.3%
m	8319	4.9%
d	8093	4.8%
i	7977	4.7%
n	7525	4.5%
Other values (115)	54433	32.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	130612	77.7%
Uppercase Letter	18662	11.1%
Space Separator	14939	8.9%
Other Punctuation	2659	1.6%
Decimal Number	1226	0.7%
Other Symbol	48	< 0.1%
Dash Punctuation	19	< 0.1%
Modifier Symbol	13	< 0.1%
Math Symbol	8	< 0.1%
Close Punctuation	7	< 0.1%
Other values (4)	7	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	20935	16.0%
e	17995	13.8%
r	9698	7.4%
t	9295	7.1%
a	8991	6.9%
m	8319	6.4%
d	8093	6.2%
i	7977	6.1%
n	7525	5.8%
c	5854	4.5%
Other values (31)	25930	19.9%

Uppercase Letter

Value	Count	Frequency (%)
E	2511	13.5%
R	2031	10.9%
O	1666	8.9%
P	1580	8.5%
M	1441	7.7%
N	1172	6.3%
S	1035	5.5%
A	974	5.2%
Ó	924	5.0%
B	890	4.8%
Other values (26)	4438	23.8%

Other Punctuation

Value	Count	Frequency (%)
!	1200	45.1%
.	782	29.4%
*	399	15.0%
,	152	5.7%
?	50	1.9%
/	36	1.4%
%	21	0.8%
:	6	0.2%
;	4	0.2%
"	3	0.1%
Other values (4)	6	0.2%

Decimal Number

Value	Count	Frequency (%)
0	461	37.6%
1	410	33.4%
5	80	6.5%
2	75	6.1%
8	46	3.8%
3	42	3.4%
4	39	3.2%
9	29	2.4%
7	23	1.9%
6	21	1.7%

Other Symbol

Value	Count	Frequency (%)
👍	16	33.3%
😍	9	18.8%
👏	7	14.6%
🌟	6	12.5%
💥	5	10.4%
👎	1	2.1%
🤗	1	2.1%
🚚	1	2.1%
😀	1	2.1%
🔟	1	2.1%

Modifier Symbol

Value	Count	Frequency (%)
´	6	46.2%
🏻	3	23.1%
🏼	2	15.4%
🏽	2	15.4%

Math Symbol

Value	Count	Frequency (%)
+	7	87.5%
=	1	12.5%

Close Punctuation

Value	Count	Frequency (%)
)	6	85.7%
]	1	14.3%

Space Separator

Value	Count	Frequency (%)
	14939	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	19	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	4	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Other Letter

Value	Count	Frequency (%)
ª	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	149275	88.7%
Common	18925	11.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	20935	14.0%
e	17995	12.1%
r	9698	6.5%
t	9295	6.2%
a	8991	6.0%
m	8319	5.6%
d	8093	5.4%
i	7977	5.3%
n	7525	5.0%
c	5854	3.9%
Other values (68)	44593	29.9%

Common

Value	Count	Frequency (%)
	14939	78.9%
!	1200	6.3%
.	782	4.1%
0	461	2.4%
1	410	2.2%
*	399	2.1%
,	152	0.8%
5	80	0.4%
2	75	0.4%
?	50	0.3%
Other values (37)	377	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	164629	97.9%
None	3561	2.1%
Emoticons	10	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	20935	12.7%
e	17995	10.9%
	14939	9.1%
r	9698	5.9%
t	9295	5.6%
a	8991	5.5%
m	8319	5.1%
d	8093	4.9%
i	7977	4.8%
n	7525	4.6%
Other values (75)	50862	30.9%

None

Value	Count	Frequency (%)
ã	1086	30.5%
Ó	924	25.9%
á	356	10.0%
ç	342	9.6%
é	249	7.0%
ó	245	6.9%
Ã	71	2.0%
í	64	1.8%
ê	45	1.3%
É	29	0.8%
Other values (28)	150	4.2%

Emoticons

Value	Count	Frequency (%)
😍	9	90.0%
😀	1	10.0%

review_comment_message
Text

MISSING

Distinct	35176
Distinct (%)	71.9%
Missing	66703
Missing (%)	57.7%
Memory size	1.8 MiB

Length

Max length	208
Median length	158
Mean length	70.205149
Min length	1

Characters and Unicode

Total characters	3433453
Distinct characters	205
Distinct categories	15 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	28730 ?
Unique (%)	58.7%

Sample

1st row	Não testei o produto ainda, mas ele veio correto e em boas condições. Apenas a caixa que veio bem amassada e danificada, o que ficará chato, pois se trata de um presente.
2nd row	Não testei o produto ainda, mas ele veio correto e em boas condições. Apenas a caixa que veio bem amassada e danificada, o que ficará chato, pois se trata de um presente.
3rd row	Não testei o produto ainda, mas ele veio correto e em boas condições. Apenas a caixa que veio bem amassada e danificada, o que ficará chato, pois se trata de um presente.
4th row	Deveriam embalar melhor o produto. A caixa veio toda amassada e vou dar de presente.
5th row	Só achei ela pequena pra seis xícaras ,mais é um bom produto

Value	Count	Frequency (%)
o	22075	3.8%
produto	20487	3.5%
e	19397	3.3%
a	14735	2.5%
de	14075	2.4%
do	12785	2.2%
não	12702	2.2%
que	10115	1.7%
prazo	9242	1.6%
muito	8930	1.5%
Other values (19329)	441610	75.3%

Most occurring characters

Value	Count	Frequency (%)
	543604	15.8%
o	338902	9.9%
e	329088	9.6%
a	272669	7.9%
r	193607	5.6%
i	158463	4.6%
t	156573	4.6%
d	145458	4.2%
n	133224	3.9%
s	129633	3.8%
Other values (195)	1032232	30.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2595479	75.6%
Space Separator	543604	15.8%
Uppercase Letter	162409	4.7%
Other Punctuation	93611	2.7%
Decimal Number	21346	0.6%
Control	13578	0.4%
Dash Punctuation	943	< 0.1%
Close Punctuation	718	< 0.1%
Open Punctuation	701	< 0.1%
Other Symbol	690	< 0.1%
Other values (5)	374	< 0.1%

Most frequent character per category

Other Symbol

Value	Count	Frequency (%)
👏	241	34.9%
👍	86	12.5%
😍	74	10.7%
°	27	3.9%
😉	22	3.2%
😘	20	2.9%
😆	19	2.8%
😡	18	2.6%
😁	13	1.9%
👎	13	1.9%
Other values (51)	157	22.8%

Lowercase Letter

Value	Count	Frequency (%)
o	338902	13.1%
e	329088	12.7%
a	272669	10.5%
r	193607	7.5%
i	158463	6.1%
t	156573	6.0%
d	145458	5.6%
n	133224	5.1%
s	129633	5.0%
m	124354	4.8%
Other values (40)	613508	23.6%

Uppercase Letter

Value	Count	Frequency (%)
E	19186	11.8%
O	18074	11.1%
A	16813	10.4%
P	12154	7.5%
R	11806	7.3%
C	9540	5.9%
N	9239	5.7%
M	9162	5.6%
S	8085	5.0%
T	7584	4.7%
Other values (31)	40766	25.1%

Other Punctuation

Value	Count	Frequency (%)
.	49261	52.6%
,	27288	29.2%
!	12446	13.3%
/	1787	1.9%
?	1566	1.7%
"	410	0.4%
:	301	0.3%
;	222	0.2%
%	192	0.2%
*	72	0.1%
Other values (5)	66	0.1%

Decimal Number

Value	Count	Frequency (%)
0	4919	23.0%
1	4891	22.9%
2	4095	19.2%
3	1917	9.0%
4	1328	6.2%
5	1223	5.7%
8	921	4.3%
6	877	4.1%
7	717	3.4%
9	458	2.1%

Math Symbol

Value	Count	Frequency (%)
+	88	61.1%
=	27	18.8%
\|	12	8.3%
<	9	6.2%
~	3	2.1%
×	2	1.4%
>	2	1.4%
÷	1	0.7%

Modifier Symbol

Value	Count	Frequency (%)
🏻	34	33.3%
´	26	25.5%
🏼	15	14.7%
🏽	13	12.7%
^	8	7.8%
🏾	4	3.9%
`	2	2.0%

Control

Value	Count	Frequency (%)
	6779	49.9%
	6779	49.9%
	20	0.1%

Close Punctuation

Value	Count	Frequency (%)
)	715	99.6%
]	3	0.4%

Open Punctuation

Value	Count	Frequency (%)
(	695	99.1%
[	6	0.9%

Other Letter

Value	Count	Frequency (%)
º	24	55.8%
ª	19	44.2%

Space Separator

Value	Count	Frequency (%)
	543604	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	943	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	77	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2757931	80.3%
Common	675522	19.7%

Most frequent character per script

Common

Value	Count	Frequency (%)
	543604	80.5%
.	49261	7.3%
,	27288	4.0%
!	12446	1.8%
	6779	1.0%
	6779	1.0%
0	4919	0.7%
1	4891	0.7%
2	4095	0.6%
3	1917	0.3%
Other values (102)	13543	2.0%

Latin

Value	Count	Frequency (%)
o	338902	12.3%
e	329088	11.9%
a	272669	9.9%
r	193607	7.0%
i	158463	5.7%
t	156573	5.7%
d	145458	5.3%
n	133224	4.8%
s	129633	4.7%
m	124354	4.5%
Other values (83)	775960	28.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3371158	98.2%
None	62050	1.8%
Emoticons	245	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	543604	16.1%
o	338902	10.1%
e	329088	9.8%
a	272669	8.1%
r	193607	5.7%
i	158463	4.7%
t	156573	4.6%
d	145458	4.3%
n	133224	4.0%
s	129633	3.8%
Other values (85)	969937	28.8%

None

Value	Count	Frequency (%)
ã	18253	29.4%
é	11197	18.0%
á	8923	14.4%
ç	7252	11.7%
ó	6189	10.0%
ê	1902	3.1%
í	1714	2.8%
Ó	1543	2.5%
õ	908	1.5%
ú	886	1.4%
Other values (71)	3283	5.3%

Emoticons

Value	Count	Frequency (%)
😍	74	30.2%
😉	22	9.0%
😘	20	8.2%
😆	19	7.8%
😡	18	7.3%
😁	13	5.3%
😊	12	4.9%
😀	8	3.3%
😩	7	2.9%
😃	6	2.4%
Other values (19)	46	18.8%

review_creation_date
Date

Distinct	632
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Minimum	2016-10-15 00:00:00
Maximum	2018-08-31 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

review_answer_timestamp
Date

Distinct	96163
Distinct (%)	83.2%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Minimum	2016-10-16 03:20:17
Maximum	2018-10-29 12:27:35

Histogram

Histogram with fixed size bins (bins=50)

product_category_name
Text

Distinct	71
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Length

Max length	46
Median length	30
Mean length	14.875062
Min length	3

Characters and Unicode

Total characters	1719691
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	utilidades_domesticas
2nd row	utilidades_domesticas
3rd row	utilidades_domesticas
4th row	utilidades_domesticas
5th row	utilidades_domesticas

Value	Count	Frequency (%)
cama_mesa_banho	11847	10.2%
beleza_saude	9944	8.6%
esporte_lazer	8942	7.7%
moveis_decoracao	8743	7.6%
informatica_acessorios	8105	7.0%
utilidades_domesticas	7331	6.3%
relogios_presentes	6161	5.3%
telefonia	4692	4.1%
ferramentas_jardim	4558	3.9%
automotivo	4356	3.8%
Other values (61)	40930	35.4%

Most occurring characters

Value	Count	Frequency (%)
e	208749	12.1%
a	206939	12.0%
s	171469	10.0%
o	170145	9.9%
i	114273	6.6%
r	110581	6.4%
_	109454	6.4%
t	82596	4.8%
c	81711	4.8%
m	77941	4.5%
Other values (18)	385833	22.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1609941	93.6%
Connector Punctuation	109454	6.4%
Decimal Number	296	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	208749	13.0%
a	206939	12.9%
s	171469	10.7%
o	170145	10.6%
i	114273	7.1%
r	110581	6.9%
t	82596	5.1%
c	81711	5.1%
m	77941	4.8%
n	58609	3.6%
Other values (16)	326928	20.3%

Connector Punctuation

Value	Count	Frequency (%)
_	109454	100.0%

Decimal Number

Value	Count	Frequency (%)
2	296	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1609941	93.6%
Common	109750	6.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	208749	13.0%
a	206939	12.9%
s	171469	10.7%
o	170145	10.6%
i	114273	7.1%
r	110581	6.9%
t	82596	5.1%
c	81711	5.1%
m	77941	4.8%
n	58609	3.6%
Other values (16)	326928	20.3%

Common

Value	Count	Frequency (%)
_	109454	99.7%
2	296	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1719691	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	208749	12.1%
a	206939	12.0%
s	171469	10.0%
o	170145	9.9%
i	114273	6.6%
r	110581	6.4%
_	109454	6.4%
t	82596	4.8%
c	81711	4.8%
m	77941	4.5%
Other values (18)	385833	22.4%

product_name_lenght
Real number (ℝ)

Distinct	66
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	48.766541

Minimum	5
Maximum	76
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	5
5-th percentile	29
Q1	42
median	52
Q3	57
95-th percentile	60
Maximum	76
Range	71
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	10.034187
Coefficient of variation (CV)	0.20575966
Kurtosis	0.14955291
Mean	48.766541
Median Absolute Deviation (MAD)	6
Skewness	-0.90541969
Sum	5637851
Variance	100.68491
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59	8598	7.4%
60	8004	6.9%
56	6803	5.9%
58	6753	5.8%
57	6261	5.4%
55	5797	5.0%
54	5469	4.7%
53	4319	3.7%
52	4280	3.7%
49	3670	3.2%
Other values (56)	55655	48.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	9	< 0.1%
6	3	< 0.1%
7	2	< 0.1%
8	4	< 0.1%
9	14	< 0.1%
10	8	< 0.1%
11	11	< 0.1%
12	37	< 0.1%
13	26	< 0.1%
14	47	< 0.1%

Value	Count	Frequency (%)
76	1	< 0.1%
72	9	< 0.1%
69	1	< 0.1%
68	1	< 0.1%
67	3	< 0.1%
66	1	< 0.1%
64	170	0.1%
63	1335	1.2%
62	160	0.1%
61	239	0.2%

product_description_lenght
Real number (ℝ)

Distinct	2958
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	785.8082

Minimum	4
Maximum	3992
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	4
5-th percentile	160
Q1	346
median	600
Q3	983
95-th percentile	2120
Maximum	3992
Range	3988
Interquartile range (IQR)	637

Descriptive statistics

Standard deviation	652.41862
Coefficient of variation (CV)	0.83025173
Kurtosis	4.9272446
Mean	785.8082
Median Absolute Deviation (MAD)	295
Skewness	2.011533
Sum	90846500
Variance	425650.05
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
341	708	0.6%
1893	664	0.6%
348	643	0.6%
492	590	0.5%
903	588	0.5%
245	576	0.5%
366	532	0.5%
236	513	0.4%
340	484	0.4%
919	436	0.4%
Other values (2948)	109875	95.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	6	< 0.1%
8	2	< 0.1%
15	1	< 0.1%
20	7	< 0.1%
23	1	< 0.1%
26	2	< 0.1%
27	4	< 0.1%
28	2	< 0.1%
30	8	< 0.1%
31	2	< 0.1%

Value	Count	Frequency (%)
3992	2	< 0.1%
3988	1	< 0.1%
3985	3	< 0.1%
3976	6	< 0.1%
3963	1	< 0.1%
3956	3	< 0.1%
3954	2	< 0.1%
3950	2	< 0.1%
3949	1	< 0.1%
3948	1	< 0.1%

product_photos_qty
Real number (ℝ)

Distinct	19
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.2053733

Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	3
95-th percentile	6
Maximum	20
Range	19
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.717771
Coefficient of variation (CV)	0.7789026
Kurtosis	4.8372556
Mean	2.2053733
Median Absolute Deviation (MAD)	0
Skewness	1.910868
Sum	254961
Variance	2.9507372
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
1	58429	50.5%
2	22894	19.8%
3	12869	11.1%
4	8770	7.6%
5	5558	4.8%
6	3905	3.4%
7	1552	1.3%
8	771	0.7%
10	353	0.3%
9	309	0.3%
Other values (9)	199	0.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	58429	50.5%
2	22894	19.8%
3	12869	11.1%
4	8770	7.6%
5	5558	4.8%
6	3905	3.4%
7	1552	1.3%
8	771	0.7%
9	309	0.3%
10	353	0.3%

Value	Count	Frequency (%)
20	1	< 0.1%
19	2	< 0.1%
18	4	< 0.1%
17	11	< 0.1%
15	12	< 0.1%
14	6	< 0.1%
13	30	< 0.1%
12	60	0.1%
11	73	0.1%
10	353	0.3%

product_weight_g
Real number (ℝ)

HIGH CORRELATION

Distinct	2197
Distinct (%)	1.9%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	2113.9077

Minimum	0
Maximum	40425
Zeros	8
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	125
Q1	300
median	700
Q3	1800
95-th percentile	9850
Maximum	40425
Range	40425
Interquartile range (IQR)	1500

Descriptive statistics

Standard deviation	3781.7549
Coefficient of variation (CV)	1.7889877
Kurtosis	16.034544
Mean	2113.9077
Median Absolute Deviation (MAD)	500
Skewness	3.5806498
Sum	2.4438464 × 10⁸
Variance	14301670
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
200	6815	5.9%
150	5329	4.6%
250	4671	4.0%
300	4313	3.7%
100	3571	3.1%
400	3481	3.0%
350	3211	2.8%
500	2787	2.4%
600	2778	2.4%
700	2095	1.8%
Other values (2187)	76557	66.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8	< 0.1%
2	5	< 0.1%
25	3	< 0.1%
50	985	0.9%
53	2	< 0.1%
54	2	< 0.1%
55	2	< 0.1%
58	1	< 0.1%
60	9	< 0.1%
61	5	< 0.1%

Value	Count	Frequency (%)
40425	3	< 0.1%
30000	296	0.3%
29800	1	< 0.1%
29750	1	< 0.1%
29700	4	< 0.1%
29600	5	< 0.1%
29500	2	< 0.1%
29250	1	< 0.1%
29150	1	< 0.1%
29100	1	< 0.1%

product_length_cm
Real number (ℝ)

HIGH CORRELATION

Distinct	99
Distinct (%)	0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	30.307903

Minimum	7
Maximum	105
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	7
5-th percentile	16
Q1	18
median	25
Q3	38
95-th percentile	62
Maximum	105
Range	98
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	16.211108
Coefficient of variation (CV)	0.53488058
Kurtosis	3.6631229
Mean	30.307903
Median Absolute Deviation (MAD)	8
Skewness	1.7425099
Sum	3503836
Variance	262.80004
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
16	17712	15.3%
20	10603	9.2%
30	7814	6.8%
17	6126	5.3%
18	5844	5.1%
19	4845	4.2%
25	4768	4.1%
40	4238	3.7%
22	3935	3.4%
50	3091	2.7%
Other values (89)	46632	40.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7	32	< 0.1%
8	2	< 0.1%
9	4	< 0.1%
10	8	< 0.1%
11	96	0.1%
12	41	< 0.1%
13	60	0.1%
14	137	0.1%
15	212	0.2%
16	17712	15.3%

Value	Count	Frequency (%)
105	331	0.3%
104	30	< 0.1%
103	45	< 0.1%
102	60	0.1%
101	108	0.1%
100	424	0.4%
99	36	< 0.1%
98	50	< 0.1%
97	11	< 0.1%
96	8	< 0.1%

product_height_cm
Real number (ℝ)

HIGH CORRELATION

Distinct	102
Distinct (%)	0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	16.638477

Minimum	2
Maximum	105
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	8
median	13
Q3	20
95-th percentile	45
Maximum	105
Range	103
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	13.47357
Coefficient of variation (CV)	0.80978385
Kurtosis	7.2875078
Mean	16.638477
Median Absolute Deviation (MAD)	6
Skewness	2.2431211
Sum	1923541
Variance	181.53708
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	10208	8.8%
20	6796	5.9%
15	6784	5.9%
11	6309	5.5%
12	6196	5.4%
2	5097	4.4%
4	4778	4.1%
8	4773	4.1%
16	4661	4.0%
5	4636	4.0%
Other values (92)	55370	47.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	5097	4.4%
3	2770	2.4%
4	4778	4.1%
5	4636	4.0%
6	3511	3.0%
7	4217	3.6%
8	4773	4.1%
9	3369	2.9%
10	10208	8.8%
11	6309	5.5%

Value	Count	Frequency (%)
105	137	0.1%
104	14	< 0.1%
103	49	< 0.1%
102	10	< 0.1%
100	42	< 0.1%
99	5	< 0.1%
98	3	< 0.1%
97	2	< 0.1%
96	8	< 0.1%
95	22	< 0.1%

product_width_cm
Real number (ℝ)

HIGH CORRELATION

Distinct	95
Distinct (%)	0.1%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	23.113167

Minimum	6
Maximum	118
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	6
5-th percentile	11
Q1	15
median	20
Q3	30
95-th percentile	45
Maximum	118
Range	112
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	11.755083
Coefficient of variation (CV)	0.50858817
Kurtosis	4.5531896
Mean	23.113167
Median Absolute Deviation (MAD)	6
Skewness	1.7072171
Sum	2672067
Variance	138.18198
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	12447	10.8%
11	10662	9.2%
15	8964	7.8%
16	8677	7.5%
30	7880	6.8%
12	5590	4.8%
13	5412	4.7%
14	4753	4.1%
18	4122	3.6%
40	4042	3.5%
Other values (85)	43059	37.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6	2	< 0.1%
7	5	< 0.1%
8	29	< 0.1%
9	51	< 0.1%
10	83	0.1%
11	10662	9.2%
12	5590	4.8%
13	5412	4.7%
14	4753	4.1%
15	8964	7.8%

Value	Count	Frequency (%)
118	7	< 0.1%
105	14	< 0.1%
104	1	< 0.1%
103	1	< 0.1%
102	2	< 0.1%
101	2	< 0.1%
100	43	< 0.1%
98	1	< 0.1%
97	1	< 0.1%
95	2	< 0.1%

seller_zip_code_prefix
Real number (ℝ)

HIGH CORRELATION

Distinct	2210
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24515.714

Minimum	1001
Maximum	99730
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	1001
5-th percentile	2969
Q1	6429
median	13660
Q3	28605
95-th percentile	88316
Maximum	99730
Range	98729
Interquartile range (IQR)	22176

Descriptive statistics

Standard deviation	27636.641
Coefficient of variation (CV)	1.1273031
Kurtosis	0.9066511
Mean	24515.714
Median Absolute Deviation (MAD)	8132
Skewness	1.548043
Sum	2.8342372 × 10⁹
Variance	7.6378392 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
14940	8227	7.1%
5849	2126	1.8%
15025	2090	1.8%
9015	1891	1.6%
13405	1667	1.4%
8577	1546	1.3%
4782	1536	1.3%
3204	1465	1.3%
4160	1261	1.1%
13232	1242	1.1%
Other values (2200)	92558	80.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1001	22	< 0.1%
1021	41	< 0.1%
1022	5	< 0.1%
1023	5	< 0.1%
1026	302	0.3%
1031	122	0.1%
1035	18	< 0.1%
1039	1	< 0.1%
1040	21	< 0.1%
1041	2	< 0.1%

Value	Count	Frequency (%)
99730	12	< 0.1%
99700	2	< 0.1%
99670	1	< 0.1%
99500	61	0.1%
99300	2	< 0.1%
98975	19	< 0.1%
98920	1	< 0.1%
98910	14	< 0.1%
98803	65	0.1%
98780	4	< 0.1%

seller_city
Text

Distinct	604
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Length

Max length	40
Median length	31
Mean length	10.102155
Min length	2

Characters and Unicode

Total characters	1167900
Distinct characters	63
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	68 ?
Unique (%)	0.1%

Sample

1st row	Maua
2nd row	Maua
3rd row	Maua
4th row	Maua
5th row	Maua

Value	Count	Frequency (%)
sao	35785	18.0%
paulo	29092	14.6%
ibitinga	8227	4.1%
rio	5802	2.9%
preto	5428	2.7%
do	5420	2.7%
jose	4035	2.0%
de	3991	2.0%
santo	3250	1.6%
andre	3146	1.6%
Other values (634)	94626	47.6%

Most occurring characters

Value	Count	Frequency (%)
a	187194	16.0%
o	141616	12.1%
i	86927	7.4%
	83253	7.1%
r	66040	5.7%
e	62563	5.4%
u	60154	5.2%
l	50605	4.3%
S	46454	4.0%
P	46176	4.0%
Other values (53)	336918	28.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	883933	75.7%
Uppercase Letter	199507	17.1%
Space Separator	83253	7.1%
Other Punctuation	606	0.1%
Modifier Symbol	365	< 0.1%
Dash Punctuation	164	< 0.1%
Open Punctuation	31	< 0.1%
Close Punctuation	31	< 0.1%
Decimal Number	8	< 0.1%
Nonspacing Mark	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	187194	21.2%
o	141616	16.0%
i	86927	9.8%
r	66040	7.5%
e	62563	7.1%
u	60154	6.8%
l	50605	5.7%
t	44895	5.1%
n	44171	5.0%
s	27876	3.2%
Other values (14)	111892	12.7%

Uppercase Letter

Value	Count	Frequency (%)
S	46454	23.3%
P	46176	23.1%
C	13499	6.8%
D	13382	6.7%
I	13117	6.6%
J	10123	5.1%
R	10071	5.0%
B	9450	4.7%
A	7153	3.6%
G	6464	3.2%
Other values (12)	23618	11.8%

Other Punctuation

Value	Count	Frequency (%)
'	345	56.9%
/	138	22.8%
.	74	12.2%
@	37	6.1%
\	6	1.0%
,	6	1.0%

Decimal Number

Value	Count	Frequency (%)
4	2	25.0%
2	2	25.0%
5	2	25.0%
0	1	12.5%
8	1	12.5%

Space Separator

Value	Count	Frequency (%)
	83253	100.0%

Modifier Symbol

Value	Count	Frequency (%)
´	365	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	164	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	31	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	31	100.0%

Nonspacing Mark

Value	Count	Frequency (%)
̃	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1083440	92.8%
Common	84458	7.2%
Inherited	2	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	187194	17.3%
o	141616	13.1%
i	86927	8.0%
r	66040	6.1%
e	62563	5.8%
u	60154	5.6%
l	50605	4.7%
S	46454	4.3%
P	46176	4.3%
t	44895	4.1%
Other values (36)	290816	26.8%

Common

Value	Count	Frequency (%)
	83253	98.6%
´	365	0.4%
'	345	0.4%
-	164	0.2%
/	138	0.2%
.	74	0.1%
@	37	< 0.1%
(	31	< 0.1%
)	31	< 0.1%
\	6	< 0.1%
Other values (6)	14	< 0.1%

Inherited

Value	Count	Frequency (%)
̃	2	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1167533	> 99.9%
None	365	< 0.1%
Diacriticals	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	187194	16.0%
o	141616	12.1%
i	86927	7.4%
	83253	7.1%
r	66040	5.7%
e	62563	5.4%
u	60154	5.2%
l	50605	4.3%
S	46454	4.0%
P	46176	4.0%
Other values (51)	336551	28.8%

None

Value	Count	Frequency (%)
´	365	100.0%

Diacriticals

Value	Count	Frequency (%)
̃	2	100.0%

seller_state
Categorical

HIGH CORRELATION IMBALANCE

Distinct	23
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

SP	82417
MG	9014
PR	8964
RJ	4906
SC	4221
Other values (18)	6087

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	231218
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	SP
2nd row	SP
3rd row	SP
4th row	SP
5th row	SP

Common Values

Value	Count	Frequency (%)
SP	82417	71.3%
MG	9014	7.8%
PR	8964	7.8%
RJ	4906	4.2%
SC	4221	3.7%
RS	2224	1.9%
DF	937	0.8%
BA	698	0.6%
GO	537	0.5%
PE	461	0.4%
Other values (13)	1230	1.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sp	82417	71.3%
mg	9014	7.8%
pr	8964	7.8%
rj	4906	4.2%
sc	4221	3.7%
rs	2224	1.9%
df	937	0.8%
ba	698	0.6%
go	537	0.5%
pe	461	0.4%
Other values (13)	1230	1.1%

Most occurring characters

Value	Count	Frequency (%)
P	91902	39.7%
S	89305	38.6%
R	16164	7.0%
M	9626	4.2%
G	9551	4.1%
J	4906	2.1%
C	4325	1.9%
A	1113	0.5%
E	948	0.4%
D	937	0.4%
Other values (6)	2441	1.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	231218	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
P	91902	39.7%
S	89305	38.6%
R	16164	7.0%
M	9626	4.2%
G	9551	4.1%
J	4906	2.1%
C	4325	1.9%
A	1113	0.5%
E	948	0.4%
D	937	0.4%
Other values (6)	2441	1.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	231218	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
P	91902	39.7%
S	89305	38.6%
R	16164	7.0%
M	9626	4.2%
G	9551	4.1%
J	4906	2.1%
C	4325	1.9%
A	1113	0.5%
E	948	0.4%
D	937	0.4%
Other values (6)	2441	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	231218	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
P	91902	39.7%
S	89305	38.6%
R	16164	7.0%
M	9626	4.2%
G	9551	4.1%
J	4906	2.1%
C	4325	1.9%
A	1113	0.5%
E	948	0.4%
D	937	0.4%
Other values (6)	2441	1.1%

product_category_name_english
Text

Distinct	71
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Length

Max length	39
Median length	31
Mean length	12.989949
Min length	3

Characters and Unicode

Total characters	1501755
Distinct characters	44
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Housewares
2nd row	Housewares
3rd row	Housewares
4th row	Housewares
5th row	Housewares

Value	Count	Frequency (%)
bed	11847	5.5%
table	11847	5.5%
bath	11847	5.5%
furniture	11502	5.3%
accessories	11423	5.3%
health	9944	4.6%
beauty	9944	4.6%
sports	8942	4.1%
leisure	8942	4.1%
decor	8743	4.0%
Other values (99)	111939	51.6%

Most occurring characters

Value	Count	Frequency (%)
e	181025	12.1%
s	121642	8.1%
o	109159	7.3%
r	104416	7.0%
t	104286	6.9%
	101311	6.7%
a	81879	5.5%
u	77400	5.2%
i	60865	4.1%
c	53224	3.5%
Other values (34)	506548	33.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1183524	78.8%
Uppercase Letter	216624	14.4%
Space Separator	101311	6.7%
Decimal Number	296	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	181025	15.3%
s	121642	10.3%
o	109159	9.2%
r	104416	8.8%
t	104286	8.8%
a	81879	6.9%
u	77400	6.5%
i	60865	5.1%
c	53224	4.5%
n	48622	4.1%
Other values (13)	241006	20.4%

Uppercase Letter

Value	Count	Frequency (%)
B	40475	18.7%
T	27868	12.9%
A	19718	9.1%
H	19617	9.1%
S	19408	9.0%
C	18732	8.6%
F	15461	7.1%
G	13004	6.0%
L	11240	5.2%
D	9837	4.5%
Other values (9)	21264	9.8%

Space Separator

Value	Count	Frequency (%)
	101311	100.0%

Decimal Number

Value	Count	Frequency (%)
2	296	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1400148	93.2%
Common	101607	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	181025	12.9%
s	121642	8.7%
o	109159	7.8%
r	104416	7.5%
t	104286	7.4%
a	81879	5.8%
u	77400	5.5%
i	60865	4.3%
c	53224	3.8%
n	48622	3.5%
Other values (32)	457630	32.7%

Common

Value	Count	Frequency (%)
	101311	99.7%
2	296	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1501755	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	181025	12.1%
s	121642	8.1%
o	109159	7.3%
r	104416	7.0%
t	104286	6.9%
	101311	6.7%
a	81879	5.5%
u	77400	5.2%
i	60865	4.1%
c	53224	3.5%
Other values (34)	506548	33.7%

review_response_time
Real number (ℝ)

SKEWED ZEROS

Distinct	210
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.5819443

Minimum	0
Maximum	518
Zeros	28066
Zeros (%)	24.3%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	3
95-th percentile	6
Maximum	518
Range	518
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	9.7851142
Coefficient of variation (CV)	3.7898239
Kurtosis	829.09885
Mean	2.5819443
Median Absolute Deviation (MAD)	1
Skewness	24.09892
Sum	298496
Variance	95.74846
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	36120	31.2%
0	28066	24.3%
2	18555	16.0%
3	16464	14.2%
4	5350	4.6%
5	3229	2.8%
6	2050	1.8%
7	1060	0.9%
8	744	0.6%
9	533	0.5%
Other values (200)	3438	3.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	28066	24.3%
1	36120	31.2%
2	18555	16.0%
3	16464	14.2%
4	5350	4.6%
5	3229	2.8%
6	2050	1.8%
7	1060	0.9%
8	744	0.6%
9	533	0.5%

Value	Count	Frequency (%)
518	1	< 0.1%
512	1	< 0.1%
508	3	< 0.1%
471	1	< 0.1%
446	1	< 0.1%
433	1	< 0.1%
412	1	< 0.1%
411	1	< 0.1%
383	1	< 0.1%
367	1	< 0.1%

time_to_delivery
Real number (ℝ)

MISSING

Distinct	143
Distinct (%)	0.1%
Missing	2400
Missing (%)	2.1%
Infinite	0
Infinite (%)	0.0%
Mean	11.976866

Minimum	0
Maximum	208
Zeros	19
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	6
median	10
Q3	15
95-th percentile	28
Maximum	208
Range	208
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	9.3622377
Coefficient of variation (CV)	0.78169346
Kurtosis	39.237666
Mean	11.976866
Median Absolute Deviation (MAD)	4
Skewness	3.7914596
Sum	1355889
Variance	87.651495
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	8968	7.8%
6	8011	6.9%
8	7961	6.9%
9	7090	6.1%
5	6874	5.9%
10	6710	5.8%
11	6099	5.3%
4	5712	4.9%
12	5477	4.7%
13	5140	4.4%
Other values (133)	45167	39.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	19	< 0.1%
1	1856	1.6%
2	3777	3.3%
3	4512	3.9%
4	5712	4.9%
5	6874	5.9%
6	8011	6.9%
7	8968	7.8%
8	7961	6.9%
9	7090	6.1%

Value	Count	Frequency (%)
208	1	< 0.1%
195	1	< 0.1%
194	3	< 0.1%
191	1	< 0.1%
189	1	< 0.1%
188	1	< 0.1%
187	3	< 0.1%
186	1	< 0.1%
182	2	< 0.1%
181	1	< 0.1%

delivery_against_estimated
Real number (ℝ)

MISSING ZEROS

Distinct	194
Distinct (%)	0.2%
Missing	2400
Missing (%)	2.1%
Infinite	0
Infinite (%)	0.0%
Mean	-12.092351

Minimum	-147
Maximum	188
Zeros	1468
Zeros (%)	1.3%
Negative	104494
Negative (%)	90.4%
Memory size	1.8 MiB

Quantile statistics

Minimum	-147
5-th percentile	-27
Q1	-17
median	-13
Q3	-7
95-th percentile	3
Maximum	188
Range	335
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	10.090815
Coefficient of variation (CV)	-0.83447915
Kurtosis	27.60215
Mean	-12.092351
Median Absolute Deviation (MAD)	5
Skewness	1.8526615
Sum	-1368963
Variance	101.82455
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-14	8425	7.3%
-13	6967	6.0%
-15	6291	5.4%
-7	5669	4.9%
-8	5605	4.8%
-9	5442	4.7%
-10	5434	4.7%
-11	5409	4.7%
-12	5333	4.6%
-16	4628	4.0%
Other values (184)	54006	46.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-147	2	< 0.1%
-140	1	< 0.1%
-135	1	< 0.1%
-124	2	< 0.1%
-109	1	< 0.1%
-84	1	< 0.1%
-83	1	< 0.1%
-78	4	< 0.1%
-77	1	< 0.1%
-76	1	< 0.1%

Value	Count	Frequency (%)
188	1	< 0.1%
175	1	< 0.1%
167	1	< 0.1%
166	1	< 0.1%
165	1	< 0.1%
162	1	< 0.1%
161	5	< 0.1%
159	1	< 0.1%
155	3	< 0.1%
153	2	< 0.1%

product_volume_cm
Real number (ℝ)

HIGH CORRELATION

Distinct	4480
Distinct (%)	3.9%
Missing	1
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	15395.611

Minimum	168
Maximum	296208
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	168
5-th percentile	816
Q1	2860
median	6650
Q3	18576
95-th percentile	58500
Maximum	296208
Range	296040
Interquartile range (IQR)	15716

Descriptive statistics

Standard deviation	23618.937
Coefficient of variation (CV)	1.5341344
Kurtosis	25.356306
Mean	15395.611
Median Absolute Deviation (MAD)	4778
Skewness	4.0676347
Sum	1.7798558 × 10⁹
Variance	5.5785418 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8000	2790	2.4%
352	1801	1.6%
19800	1305	1.1%
4096	1183	1.0%
816	1110	1.0%
640	1103	1.0%
27000	994	0.9%
2560	967	0.8%
4800	955	0.8%
4500	935	0.8%
Other values (4470)	102465	88.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
168	1	< 0.1%
288	1	< 0.1%
352	1801	1.6%
374	4	< 0.1%
378	1	< 0.1%
384	10	< 0.1%
396	12	< 0.1%
408	3	< 0.1%
416	5	< 0.1%
418	4	< 0.1%

Value	Count	Frequency (%)
296208	1	< 0.1%
294000	4	< 0.1%
293706	1	< 0.1%
288000	7	< 0.1%
287980	4	< 0.1%
285138	1	< 0.1%
282750	3	< 0.1%
281232	1	< 0.1%
277550	2	< 0.1%
274625	1	< 0.1%

order_purchase_year
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

2018	62721
2017	52507
2016	381

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	462436
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2017
2nd row	2017
3rd row	2017
4th row	2017
5th row	2017

Common Values

Value	Count	Frequency (%)
2018	62721	54.3%
2017	52507	45.4%
2016	381	0.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2018	62721	54.3%
2017	52507	45.4%
2016	381	0.3%

Most occurring characters

Value	Count	Frequency (%)
2	115609	25.0%
0	115609	25.0%
1	115609	25.0%
8	62721	13.6%
7	52507	11.4%
6	381	0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	462436	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	115609	25.0%
0	115609	25.0%
1	115609	25.0%
8	62721	13.6%
7	52507	11.4%
6	381	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	462436	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	115609	25.0%
0	115609	25.0%
1	115609	25.0%
8	62721	13.6%
7	52507	11.4%
6	381	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	462436	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	115609	25.0%
0	115609	25.0%
1	115609	25.0%
8	62721	13.6%
7	52507	11.4%
6	381	0.1%

order_purchase_year_month
Categorical

HIGH CORRELATION

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

2017-11	8881
2018-03	8380
2018-01	8304
2018-05	8127
2018-04	8123
Other values (19)	73794

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	809263
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	2017-10
2nd row	2017-10
3rd row	2017-10
4th row	2017-08
5th row	2017-08

Common Values

Value	Count	Frequency (%)
2017-11	8881	7.7%
2018-03	8380	7.2%
2018-01	8304	7.2%
2018-05	8127	7.0%
2018-04	8123	7.0%
2018-02	7817	6.8%
2018-08	7396	6.4%
2018-06	7331	6.3%
2018-07	7242	6.3%
2017-12	6371	5.5%
Other values (14)	37637	32.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2017-11	8881	7.7%
2018-03	8380	7.2%
2018-01	8304	7.2%
2018-05	8127	7.0%
2018-04	8123	7.0%
2018-02	7817	6.8%
2018-08	7396	6.4%
2018-06	7331	6.3%
2018-07	7242	6.3%
2017-12	6371	5.5%
Other values (14)	37637	32.6%

Most occurring characters

Value	Count	Frequency (%)
0	215965	26.7%
1	154913	19.1%
2	131797	16.3%
-	115609	14.3%
8	75200	9.3%
7	64522	8.0%
5	12427	1.5%
3	11489	1.4%
6	11440	1.4%
4	10883	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	693654	85.7%
Dash Punctuation	115609	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	215965	31.1%
1	154913	22.3%
2	131797	19.0%
8	75200	10.8%
7	64522	9.3%
5	12427	1.8%
3	11489	1.7%
6	11440	1.6%
4	10883	1.6%
9	5018	0.7%

Dash Punctuation

Value	Count	Frequency (%)
-	115609	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	809263	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	215965	26.7%
1	154913	19.1%
2	131797	16.3%
-	115609	14.3%
8	75200	9.3%
7	64522	8.0%
5	12427	1.5%
3	11489	1.4%
6	11440	1.4%
4	10883	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	809263	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	215965	26.7%
1	154913	19.1%
2	131797	16.3%
-	115609	14.3%
8	75200	9.3%
7	64522	8.0%
5	12427	1.5%
3	11489	1.4%
6	11440	1.4%
4	10883	1.3%

order_purchase_hour
Real number (ℝ)

ZEROS

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.76443

Minimum	0
Maximum	23
Zeros	2835
Zeros (%)	2.5%
Negative	0
Negative (%)	0.0%
Memory size	1.8 MiB

Quantile statistics

Minimum	0
5-th percentile	6
Q1	11
median	15
Q3	19
95-th percentile	22
Maximum	23
Range	23
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	5.321909
Coefficient of variation (CV)	0.36045475
Kurtosis	0.19481186
Mean	14.76443
Median Absolute Deviation (MAD)	4
Skewness	-0.60132366
Sum	1706901
Variance	28.322715
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
16	7835	6.8%
14	7776	6.7%
11	7636	6.6%
13	7569	6.5%
15	7497	6.5%
10	7200	6.2%
17	7138	6.2%
20	7127	6.2%
21	7105	6.1%
12	7056	6.1%
Other values (14)	41670	36.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2835	2.5%
1	1310	1.1%
2	594	0.5%
3	311	0.3%
4	251	0.2%
5	213	0.2%
6	561	0.5%
7	1396	1.2%
8	3469	3.0%
9	5513	4.8%

Value	Count	Frequency (%)
23	4811	4.2%
22	6810	5.9%
21	7105	6.1%
20	7127	6.2%
19	6858	5.9%
18	6738	5.8%
17	7138	6.2%
16	7835	6.8%
15	7497	6.5%
14	7776	6.7%

order_purchase_month
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Aug	12479
May	12427
Jul	12015
Mar	11489
Jun	11059
Other values (7)	56140

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	346827
Distinct characters	22
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Oct
2nd row	Oct
3rd row	Oct
4th row	Aug
5th row	Aug

Common Values

Value	Count	Frequency (%)
Aug	12479	10.8%
May	12427	10.7%
Jul	12015	10.4%
Mar	11489	9.9%
Jun	11059	9.6%
Apr	10883	9.4%
Feb	9816	8.5%
Jan	9302	8.0%
Nov	8881	7.7%
Dec	6372	5.5%
Other values (2)	10886	9.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
aug	12479	10.8%
may	12427	10.7%
jul	12015	10.4%
mar	11489	9.9%
jun	11059	9.6%
apr	10883	9.4%
feb	9816	8.5%
jan	9302	8.0%
nov	8881	7.7%
dec	6372	5.5%
Other values (2)	10886	9.4%

Most occurring characters

Value	Count	Frequency (%)
u	35553	10.3%
a	33218	9.6%
J	32376	9.3%
M	23916	6.9%
A	23362	6.7%
r	22372	6.5%
e	21206	6.1%
n	20361	5.9%
p	15901	4.6%
g	12479	3.6%
Other values (12)	106083	30.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	231218	66.7%
Uppercase Letter	115609	33.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	35553	15.4%
a	33218	14.4%
r	22372	9.7%
e	21206	9.2%
n	20361	8.8%
p	15901	6.9%
g	12479	5.4%
y	12427	5.4%
c	12240	5.3%
l	12015	5.2%
Other values (4)	33446	14.5%

Uppercase Letter

Value	Count	Frequency (%)
J	32376	28.0%
M	23916	20.7%
A	23362	20.2%
F	9816	8.5%
N	8881	7.7%
D	6372	5.5%
O	5868	5.1%
S	5018	4.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	346827	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	35553	10.3%
a	33218	9.6%
J	32376	9.3%
M	23916	6.9%
A	23362	6.7%
r	22372	6.5%
e	21206	6.1%
n	20361	5.9%
p	15901	4.6%
g	12479	3.6%
Other values (12)	106083	30.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	346827	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
u	35553	10.3%
a	33218	9.6%
J	32376	9.3%
M	23916	6.9%
A	23362	6.7%
r	22372	6.5%
e	21206	6.1%
n	20361	5.9%
p	15901	4.6%
g	12479	3.6%
Other values (12)	106083	30.6%

order_purchase_dayofweek
Categorical

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.8 MiB

Mon	18769
Tue	18768
Wed	18033
Thu	17301
Fri	16532
Other values (2)	26206

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	346827
Distinct characters	15
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mon
2nd row	Mon
3rd row	Mon
4th row	Tue
5th row	Wed

Common Values

Value	Count	Frequency (%)
Mon	18769	16.2%
Tue	18768	16.2%
Wed	18033	15.6%
Thu	17301	15.0%
Fri	16532	14.3%
Sun	13722	11.9%
Sat	12484	10.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mon	18769	16.2%
tue	18768	16.2%
wed	18033	15.6%
thu	17301	15.0%
fri	16532	14.3%
sun	13722	11.9%
sat	12484	10.8%

Most occurring characters

Value	Count	Frequency (%)
u	49791	14.4%
e	36801	10.6%
T	36069	10.4%
n	32491	9.4%
S	26206	7.6%
M	18769	5.4%
o	18769	5.4%
W	18033	5.2%
d	18033	5.2%
h	17301	5.0%
Other values (5)	74564	21.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	231218	66.7%
Uppercase Letter	115609	33.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	49791	21.5%
e	36801	15.9%
n	32491	14.1%
o	18769	8.1%
d	18033	7.8%
h	17301	7.5%
r	16532	7.1%
i	16532	7.1%
a	12484	5.4%
t	12484	5.4%

Uppercase Letter

Value	Count	Frequency (%)
T	36069	31.2%
S	26206	22.7%
M	18769	16.2%
W	18033	15.6%
F	16532	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	346827	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	49791	14.4%
e	36801	10.6%
T	36069	10.4%
n	32491	9.4%
S	26206	7.6%
M	18769	5.4%
o	18769	5.4%
W	18033	5.2%
d	18033	5.2%
h	17301	5.0%
Other values (5)	74564	21.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	346827	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
u	49791	14.4%
e	36801	10.6%
T	36069	10.4%
n	32491	9.4%
S	26206	7.6%
M	18769	5.4%
o	18769	5.4%
W	18033	5.2%
d	18033	5.2%
h	17301	5.0%
Other values (5)	74564	21.5%

Auto

Heatmap
Table

	customer_state	customer_zip_code_prefix	delivery_against_estimated	freight_value	order_item_id	order_purchase_dayofweek	order_purchase_hour	order_purchase_month	order_purchase_year	order_purchase_year_month	order_status	payment_installments	payment_sequential	payment_type	payment_value	price	product_description_lenght	product_height_cm	product_length_cm	product_name_lenght	product_photos_qty	product_volume_cm	product_weight_g	product_width_cm	review_response_time	review_score	seller_state	seller_zip_code_prefix	time_to_delivery
customer_state	1.000	-0.720	0.103	-0.460	0.017	0.014	-0.004	0.020	0.043	0.040	0.027	-0.072	0.002	0.039	-0.096	-0.069	-0.030	-0.004	0.005	-0.010	-0.019	0.004	-0.018	0.010	-0.021	0.049	0.054	-0.045	-0.400
customer_zip_code_prefix	-0.720	1.000	-0.133	0.466	-0.009	0.009	0.013	0.020	0.037	0.029	0.023	0.069	-0.007	0.033	0.106	0.070	0.031	0.019	0.009	0.016	0.026	0.014	0.026	-0.002	0.023	0.042	0.066	0.060	0.427
delivery_against_estimated	0.103	-0.133	1.000	-0.146	-0.036	0.020	0.029	0.083	0.148	0.129	0.000	-0.059	-0.007	0.026	-0.063	-0.029	0.009	-0.013	-0.003	0.013	0.002	-0.010	-0.009	-0.014	-0.056	0.096	0.050	-0.139	0.307
freight_value	-0.460	0.466	-0.146	1.000	-0.056	0.008	0.007	0.017	0.028	0.025	0.016	0.190	0.016	0.010	0.424	0.435	0.117	0.284	0.282	0.033	0.010	0.369	0.448	0.273	0.017	0.015	0.048	0.256	0.420
order_item_id	0.017	-0.009	-0.036	-0.056	1.000	0.008	-0.013	0.009	0.005	0.014	0.003	0.060	-0.007	0.021	0.257	-0.114	-0.032	0.019	0.008	-0.022	-0.064	0.015	0.001	-0.003	0.018	0.041	0.000	-0.012	-0.022
order_purchase_dayofweek	0.014	0.009	0.020	0.008	0.008	1.000	0.002	0.047	0.025	0.051	0.007	-0.016	0.004	0.035	-0.002	-0.003	0.000	0.003	0.002	0.007	-0.002	0.002	0.000	-0.002	0.012	0.012	0.010	0.001	-0.040
order_purchase_hour	-0.004	0.013	0.029	0.007	-0.013	0.002	1.000	0.016	0.019	0.018	0.009	0.030	0.012	0.043	-0.006	0.008	-0.009	0.002	0.010	-0.000	0.004	0.010	0.016	0.012	-0.004	0.013	0.011	-0.004	-0.007
order_purchase_month	0.020	0.020	0.083	0.017	0.009	0.047	0.016	1.000	0.462	1.000	0.025	0.022	0.010	0.035	0.008	0.003	-0.016	0.016	0.010	-0.004	-0.000	0.017	0.021	0.013	-0.013	0.056	0.037	0.004	0.047
order_purchase_year	0.043	0.037	0.148	0.028	0.005	0.025	0.019	0.462	1.000	1.000	0.108	-0.042	-0.034	0.042	0.022	0.005	0.053	-0.014	-0.067	0.019	-0.022	-0.056	-0.050	-0.058	-0.010	0.019	0.084	-0.038	-0.093
order_purchase_year_month	0.040	0.029	0.129	0.025	0.014	0.051	0.018	1.000	1.000	1.000	0.072	-0.034	-0.039	0.059	0.027	0.008	0.055	-0.008	-0.080	0.030	-0.009	-0.060	-0.055	-0.061	-0.027	0.063	0.040	-0.038	-0.164
order_status	0.027	0.023	0.000	0.016	0.003	0.007	0.009	0.025	0.108	0.072	1.000	0.001	0.002	0.007	0.002	0.013	0.009	0.010	0.004	-0.006	0.001	0.009	0.007	0.005	-0.017	0.131	0.029	0.005	-0.003
payment_installments	-0.072	0.069	-0.059	0.190	0.060	-0.016	0.030	0.022	-0.042	-0.034	0.001	1.000	-0.177	0.273	0.396	0.317	0.033	0.106	0.109	0.016	-0.003	0.148	0.198	0.125	0.005	0.028	0.033	0.066	0.039
payment_sequential	0.002	-0.007	-0.007	0.016	-0.007	0.004	0.012	0.010	-0.034	-0.039	0.002	-0.177	1.000	0.229	-0.214	-0.005	-0.013	0.011	0.032	-0.004	-0.004	0.027	0.028	0.026	-0.014	0.012	0.016	0.006	0.009
payment_type	0.039	0.033	0.026	0.010	0.021	0.035	0.043	0.035	0.042	0.059	0.007	0.273	0.229	1.000	-0.093	0.033	-0.010	0.009	0.020	-0.003	-0.004	0.022	0.026	0.025	-0.017	0.009	0.021	0.003	-0.072
payment_value	-0.096	0.106	-0.063	0.424	0.257	-0.002	-0.006	0.008	0.022	0.027	0.002	0.396	-0.214	-0.093	1.000	0.790	0.169	0.306	0.231	0.024	-0.012	0.351	0.452	0.234	0.024	0.028	0.037	0.163	0.123
price	-0.069	0.070	-0.029	0.435	-0.114	-0.003	0.008	0.003	0.005	0.008	0.013	0.317	-0.005	0.033	0.790	1.000	0.211	0.328	0.268	0.042	0.028	0.391	0.515	0.273	0.008	0.012	0.053	0.179	0.113
product_description_lenght	-0.030	0.031	0.009	0.117	-0.032	0.000	-0.009	-0.016	0.053	0.055	0.009	0.033	-0.013	-0.010	0.169	0.211	1.000	0.134	-0.020	0.073	0.111	0.036	0.095	-0.081	0.002	0.015	0.112	0.002	0.007
product_height_cm	-0.004	0.019	-0.013	0.284	0.019	0.003	0.002	0.016	-0.014	-0.008	0.010	0.106	0.011	0.009	0.306	0.328	0.134	1.000	0.244	-0.057	-0.080	0.764	0.530	0.334	0.017	0.018	0.066	0.049	0.061
product_length_cm	0.005	0.009	-0.003	0.282	0.008	0.002	0.010	0.010	-0.067	-0.080	0.004	0.109	0.032	0.020	0.231	0.268	-0.020	0.244	1.000	0.060	0.005	0.735	0.618	0.631	0.018	0.018	0.085	0.062	0.078
product_name_lenght	-0.010	0.016	0.013	0.033	-0.022	0.007	-0.000	-0.004	0.019	0.030	-0.006	0.016	-0.004	-0.003	0.024	0.042	0.073	-0.057	0.060	1.000	0.163	0.022	0.076	0.066	0.008	0.013	0.070	0.009	0.001
product_photos_qty	-0.019	0.026	0.002	0.010	-0.064	-0.002	0.004	-0.000	-0.022	-0.009	0.001	-0.003	-0.004	-0.004	-0.012	0.028	0.111	-0.080	0.005	0.163	1.000	-0.031	0.003	-0.015	-0.007	0.016	0.040	-0.078	-0.029
product_volume_cm	0.004	0.014	-0.010	0.369	0.015	0.002	0.010	0.017	-0.056	-0.060	0.009	0.148	0.027	0.022	0.351	0.391	0.036	0.764	0.735	0.022	-0.031	1.000	0.767	0.762	0.024	0.019	0.035	0.073	0.081
product_weight_g	-0.018	0.026	-0.009	0.448	0.001	0.000	0.016	0.021	-0.050	-0.055	0.007	0.198	0.028	0.026	0.452	0.515	0.095	0.530	0.618	0.076	0.003	0.767	1.000	0.619	0.023	0.021	0.079	0.095	0.101
product_width_cm	0.010	-0.002	-0.014	0.273	-0.003	-0.002	0.012	0.013	-0.058	-0.061	0.005	0.125	0.026	0.025	0.234	0.273	-0.081	0.334	0.631	0.066	-0.015	0.762	0.619	1.000	0.019	0.013	0.058	0.075	0.043
review_response_time	-0.021	0.023	-0.056	0.017	0.018	0.012	-0.004	-0.013	-0.010	-0.027	-0.017	0.005	-0.014	-0.017	0.024	0.008	0.002	0.017	0.018	0.008	-0.007	0.024	0.023	0.019	1.000	0.004	0.011	0.017	-0.015
review_score	0.049	0.042	0.096	0.015	0.041	0.012	0.013	0.056	0.019	0.063	0.131	0.028	0.012	0.009	0.028	0.012	0.015	0.018	0.018	0.013	0.016	0.019	0.021	0.013	0.004	1.000	0.023	0.017	-0.221
seller_state	0.054	0.066	0.050	0.048	0.000	0.010	0.011	0.037	0.084	0.040	0.029	0.033	0.016	0.021	0.037	0.053	0.112	0.066	0.085	0.070	0.040	0.035	0.079	0.058	0.011	0.023	1.000	-0.751	-0.068
seller_zip_code_prefix	-0.045	0.060	-0.139	0.256	-0.012	0.001	-0.004	0.004	-0.038	-0.038	0.005	0.066	0.006	0.003	0.163	0.179	0.002	0.049	0.062	0.009	-0.078	0.073	0.095	0.075	0.017	0.017	-0.751	1.000	0.123
time_to_delivery	-0.400	0.427	0.307	0.420	-0.022	-0.040	-0.007	0.047	-0.093	-0.164	-0.003	0.039	0.009	-0.072	0.123	0.113	0.007	0.061	0.078	0.001	-0.029	0.081	0.101	0.043	-0.015	-0.221	-0.068	0.123	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	order_id	customer_id	order_status	order_purchase_timestamp	order_approved_at	order_delivered_carrier_date	order_delivered_customer_date	order_estimated_delivery_date	customer_unique_id	customer_zip_code_prefix	customer_city	customer_state	order_item_id	product_id	seller_id	shipping_limit_date	price	freight_value	payment_sequential	payment_type	payment_installments	payment_value	review_id	review_score	review_comment_title	review_comment_message	review_creation_date	review_answer_timestamp	product_category_name	product_name_lenght	product_description_lenght	product_photos_qty	product_weight_g	product_length_cm	product_height_cm	product_width_cm	seller_zip_code_prefix	seller_city	seller_state	product_category_name_english	review_response_time	time_to_delivery	delivery_against_estimated	product_volume_cm	order_purchase_year	order_purchase_year_month	order_purchase_hour	order_purchase_month	order_purchase_dayofweek
0	e481f51cbdc54678b7cc49136f2d6af7	9ef432eb6251297304e76186b10a928d	delivered	2017-10-02 10:56:33	2017-10-02 11:07:15	2017-10-04 19:55:00	2017-10-10 21:25:13	2017-10-18	7c396fd4830fd04220f754e42b4e5bff	3149	Sao Paulo	SP	1	87285b34884572647811a353c7ac498a	3504c0cb71d7fa48d967e0e4c94d59d9	2017-10-06 11:07:15	29.99	8.72	1	Credit Card	1	18.12	a54f0611adc9ed256b57ede6b6eb5114	4	NaN	Não testei o produto ainda, mas ele veio correto e em boas condições. Apenas a caixa que veio bem amassada e danificada, o que ficará chato, pois se trata de um presente.	2017-10-11	2017-10-12 03:43:48	utilidades_domesticas	40.0	268.0	4.0	500.0	19.0	8.0	13.0	9350	Maua	SP	Housewares	1	8.0	-8.0	1976.0	2017	2017-10	10	Oct	Mon
1	e481f51cbdc54678b7cc49136f2d6af7	9ef432eb6251297304e76186b10a928d	delivered	2017-10-02 10:56:33	2017-10-02 11:07:15	2017-10-04 19:55:00	2017-10-10 21:25:13	2017-10-18	7c396fd4830fd04220f754e42b4e5bff	3149	Sao Paulo	SP	1	87285b34884572647811a353c7ac498a	3504c0cb71d7fa48d967e0e4c94d59d9	2017-10-06 11:07:15	29.99	8.72	3	Voucher	1	2.00	a54f0611adc9ed256b57ede6b6eb5114	4	NaN	Não testei o produto ainda, mas ele veio correto e em boas condições. Apenas a caixa que veio bem amassada e danificada, o que ficará chato, pois se trata de um presente.	2017-10-11	2017-10-12 03:43:48	utilidades_domesticas	40.0	268.0	4.0	500.0	19.0	8.0	13.0	9350	Maua	SP	Housewares	1	8.0	-8.0	1976.0	2017	2017-10	10	Oct	Mon
2	e481f51cbdc54678b7cc49136f2d6af7	9ef432eb6251297304e76186b10a928d	delivered	2017-10-02 10:56:33	2017-10-02 11:07:15	2017-10-04 19:55:00	2017-10-10 21:25:13	2017-10-18	7c396fd4830fd04220f754e42b4e5bff	3149	Sao Paulo	SP	1	87285b34884572647811a353c7ac498a	3504c0cb71d7fa48d967e0e4c94d59d9	2017-10-06 11:07:15	29.99	8.72	2	Voucher	1	18.59	a54f0611adc9ed256b57ede6b6eb5114	4	NaN	Não testei o produto ainda, mas ele veio correto e em boas condições. Apenas a caixa que veio bem amassada e danificada, o que ficará chato, pois se trata de um presente.	2017-10-11	2017-10-12 03:43:48	utilidades_domesticas	40.0	268.0	4.0	500.0	19.0	8.0	13.0	9350	Maua	SP	Housewares	1	8.0	-8.0	1976.0	2017	2017-10	10	Oct	Mon
3	128e10d95713541c87cd1a2e48201934	a20e8105f23924cd00833fd87daa0831	delivered	2017-08-15 18:29:31	2017-08-15 20:05:16	2017-08-17 15:28:33	2017-08-18 14:44:43	2017-08-28	3a51803cc0d012c3b5dc8b7528cb05f7	3366	Sao Paulo	SP	1	87285b34884572647811a353c7ac498a	3504c0cb71d7fa48d967e0e4c94d59d9	2017-08-21 20:05:16	29.99	7.78	1	Credit Card	3	37.77	b46f1e34512b0f4c74a72398b03ca788	4	NaN	Deveriam embalar melhor o produto. A caixa veio toda amassada e vou dar de presente.	2017-08-19	2017-08-20 15:16:36	utilidades_domesticas	40.0	268.0	4.0	500.0	19.0	8.0	13.0	9350	Maua	SP	Housewares	1	2.0	-10.0	1976.0	2017	2017-08	18	Aug	Tue
4	0e7e841ddf8f8f2de2bad69267ecfbcf	26c7ac168e1433912a51b924fbd34d34	delivered	2017-08-02 18:24:47	2017-08-02 18:43:15	2017-08-04 17:35:43	2017-08-07 18:30:01	2017-08-15	ef0996a1a279c26e7ecbd737be23d235	2290	Sao Paulo	SP	1	87285b34884572647811a353c7ac498a	3504c0cb71d7fa48d967e0e4c94d59d9	2017-08-08 18:37:31	29.99	7.78	1	Credit Card	1	37.77	dc90f19c2806f1abba9e72ad3c350073	5	NaN	Só achei ela pequena pra seis xícaras ,mais é um bom produto\r\n	2017-08-08	2017-08-08 23:26:23	utilidades_domesticas	40.0	268.0	4.0	500.0	19.0	8.0	13.0	9350	Maua	SP	Housewares	0	5.0	-8.0	1976.0	2017	2017-08	18	Aug	Wed
5	bfc39df4f36c3693ff3b63fcbea9e90a	53904ddbea91e1e92b2b3f1d09a7af86	delivered	2017-10-23 23:26:46	2017-10-25 02:14:11	2017-10-27 16:48:46	2017-11-07 18:04:59	2017-11-13	e781fdcc107d13d865fc7698711cc572	88032	Florianopolis	SC	1	87285b34884572647811a353c7ac498a	3504c0cb71d7fa48d967e0e4c94d59d9	2017-10-31 02:14:11	29.99	14.10	1	Boleto	1	44.09	1bafb430e498b939f258b9c9dbdff9b1	3	NaN	NaN	2017-11-08	2017-11-10 19:52:38	utilidades_domesticas	40.0	268.0	4.0	500.0	19.0	8.0	13.0	9350	Maua	SP	Housewares	2	14.0	-6.0	1976.0	2017	2017-10	23	Oct	Mon
6	5f49f31e537f8f1a496454b48edbe34d	a7260a6ccba78544ccfaf43f920b7240	delivered	2017-08-24 11:31:28	2017-08-24 11:45:25	2017-08-25 14:17:55	2017-08-28 20:12:20	2017-09-14	7a1de9bde89aedca8c5fbad489c5571c	1315	Sao Paulo	SP	2	be03d93320192443b8fa24c0ca6ead98	3504c0cb71d7fa48d967e0e4c94d59d9	2017-08-30 11:45:25	46.80	67.70	1	Credit Card	1	127.45	8899ca945efd951c97107b4966289227	1	NaN	Prezados que porcaria de atendimento ao cliente não se consegue falar com um atendente, só uma máquina burra e ignorante.\r\nVocês não me enviaram o kit de vedação da cafeteira e o filtro e se só isso n	2017-08-29	2017-08-30 02:26:02	utilidades_domesticas	59.0	189.0	3.0	775.0	16.0	16.0	13.0	9350	Maua	SP	Housewares	1	4.0	-17.0	3328.0	2017	2017-08	11	Aug	Thu
7	1fa40f202d5d233b6491e976c557b822	50fd5707c28d0a64dc20d67f937dd9ba	delivered	2017-09-23 22:11:10	2017-09-23 22:25:11	2017-09-26 17:27:54	2017-10-19 21:09:21	2017-11-13	35c6ec4630637b3ec0da6e587f245f83	69043	Manaus	AM	1	8415b1dae10d2dcb36beec370c6a90cd	3504c0cb71d7fa48d967e0e4c94d59d9	2017-09-27 22:25:11	28.90	21.15	1	Credit Card	1	50.05	4b70092fc12f2328972d5ff1022d87e9	4	NaN	NaN	2017-10-20	2017-10-23 04:13:41	utilidades_domesticas	59.0	322.0	5.0	600.0	24.0	5.0	18.0	9350	Maua	SP	Housewares	3	25.0	-25.0	2160.0	2017	2017-09	22	Sep	Sat
8	41c045db2d1876be9f05cf4a787693b2	a286f46d6e54cc0179bbb0ee07b0df5e	delivered	2017-08-16 14:06:30	2017-08-16 14:55:20	2017-08-18 15:41:40	2017-08-21 15:05:13	2017-08-29	4e4fa2b85379e9db6dc59f873f0a9748	5640	Sao Paulo	SP	1	5e18248fc768bdb7fc69fd012068d109	3504c0cb71d7fa48d967e0e4c94d59d9	2017-08-22 14:55:20	24.90	7.78	1	Credit Card	1	32.68	b9e086024ceb0234e5950016497a4928	5	NaN	NaN	2017-08-22	2017-08-26 02:31:53	utilidades_domesticas	37.0	749.0	4.0	600.0	16.0	6.0	20.0	9350	Maua	SP	Housewares	4	5.0	-8.0	1920.0	2017	2017-08	14	Aug	Wed
9	a60241fca336b3f14485dff30a172cab	2a3caad976ff659d519660a7c9357122	delivered	2018-07-27 22:05:26	2018-07-27 22:24:21	2018-07-30 09:15:00	2018-08-02 13:45:01	2018-08-20	0b7a92bbb834394fd894c370ba568278	88960	Sombrio	SC	1	883cea107372a7f07b5830904f74952d	1c40343cc5d18c2d8248ac2f3366de34	2018-07-31 22:24:21	64.99	23.26	1	Credit Card	2	176.50	abf7167b43e3978411cfaa0f77e5d21b	3	NaN	NaN	2018-08-03	2018-08-03 21:50:00	utilidades_domesticas	53.0	220.0	1.0	1125.0	36.0	43.0	36.0	13482	Limeira	SP	Housewares	0	5.0	-18.0	55728.0	2018	2018-07	22	Jul	Fri

	order_id	customer_id	order_status	order_purchase_timestamp	order_approved_at	order_delivered_carrier_date	order_delivered_customer_date	order_estimated_delivery_date	customer_unique_id	customer_zip_code_prefix	customer_city	customer_state	order_item_id	product_id	seller_id	shipping_limit_date	price	freight_value	payment_sequential	payment_type	payment_installments	payment_value	review_id	review_score	review_comment_title	review_comment_message	review_creation_date	review_answer_timestamp	product_category_name	product_name_lenght	product_description_lenght	product_photos_qty	product_weight_g	product_length_cm	product_height_cm	product_width_cm	seller_zip_code_prefix	seller_city	seller_state	product_category_name_english	review_response_time	time_to_delivery	delivery_against_estimated	product_volume_cm	order_purchase_year	order_purchase_year_month	order_purchase_hour	order_purchase_month	order_purchase_dayofweek
115599	28915ae2a90c218f0c2b7f8e0fb280e0	98a1b4f80dd0ccb7d1ae5a75ba5c904e	delivered	2017-04-09 20:04:37	2017-04-11 03:45:26	2017-04-12 07:03:58	2017-04-18 09:53:40	2017-05-04	bf5ed75fca98e8f79c49e9a5bf7690e1	13480	Limeira	SP	2	e2dd0cb9b99517a86cbc9441cbb55348	c731d18cea9bf687ffee82a241c25b11	2017-04-17 03:45:26	24.00	10.81	1	Boleto	1	63.25	79edb538f521d901d1167e50b4c4101f	1	NaN	faltou a forma e nao consigo entrar em contato, sempre ocupados	2017-04-19	2017-04-22 20:23:39	la_cuisine	41.0	194.0	1.0	450.0	31.0	10.0	18.0	89701	Concordia	SC	La Cuisine	3	8.0	-16.0	5580.0	2017	2017-04	20	Apr	Sun
115600	f92d5bedc0cb67f0b4fb723b39af6a46	3505b6b5d1e198e50fcae66089393ffd	delivered	2017-10-02 08:24:12	2017-10-02 08:35:11	2017-10-02 18:25:43	2017-10-07 00:03:49	2017-10-30	52fc783c029911295155492353866f9a	31050	Belo Horizonte	MG	1	d29534bc8c74cd3d91e0f175a5c9b366	c731d18cea9bf687ffee82a241c25b11	2017-10-06 08:35:11	137.00	23.83	1	Credit Card	10	160.83	f9a5034852e397e4c445480576c015b4	5	NaN	NaN	2017-10-08	2017-10-09 14:54:47	la_cuisine	59.0	748.0	1.0	1450.0	74.0	12.0	15.0	89701	Concordia	SC	La Cuisine	1	4.0	-23.0	13320.0	2017	2017-10	8	Oct	Mon
115601	937592924b66482b823ee7ecd185d0ff	0fbd856ba1d4961786fb54bd448eb7fe	delivered	2018-03-31 19:17:43	2018-03-31 19:55:18	2018-04-02 19:10:46	2018-04-06 22:05:04	2018-04-18	96328ac15f58fbb232fe14b182103382	89675	Vargem Bonita	SC	1	0c800efe70e04ffcc3b266946e3e4826	c731d18cea9bf687ffee82a241c25b11	2018-04-05 19:55:18	389.00	37.70	1	Credit Card	8	426.70	45c02db2f81c1968c58f08d46694213d	4	NaN	NaN	2018-04-07	2018-04-18 13:28:14	la_cuisine	59.0	284.0	2.0	12500.0	83.0	21.0	43.0	89701	Concordia	SC	La Cuisine	11	6.0	-12.0	74949.0	2018	2018-03	19	Mar	Sat
115602	4cbf1cc60a2d1704a70e11ee8be1510a	406c8e1382162dc6bef214e0c01fc297	delivered	2018-01-01 17:03:13	2018-01-01 17:11:48	2018-01-02 15:58:13	2018-01-10 13:45:30	2018-01-30	9b8844d7cceb1277e6508cce966e4a09	6767	Taboao Da Serra	SP	1	2365562e74dd46f5e99cdc696c504cea	c731d18cea9bf687ffee82a241c25b11	2018-01-05 17:11:18	112.00	18.03	1	Credit Card	2	130.03	d2ab760b550d788a438048f6fca52aef	5	NaN	NaN	2018-01-11	2018-01-12 09:53:28	la_cuisine	49.0	554.0	1.0	1750.0	95.0	9.0	37.0	89701	Concordia	SC	La Cuisine	1	8.0	-20.0	31635.0	2018	2018-01	17	Jan	Mon
115603	fbd9022ebf9271e1952ca884a972d1bd	3e46b833c6f5d7827700b8ef99db2e08	delivered	2017-07-22 17:55:13	2017-07-22 18:10:09	2017-07-24 18:28:01	2017-07-27 19:03:29	2017-08-11	578035514ad8238fa724f24b4aabc1df	88705	Tubarao	SC	1	2365562e74dd46f5e99cdc696c504cea	c731d18cea9bf687ffee82a241c25b11	2017-07-27 18:10:09	105.00	14.60	1	Credit Card	1	119.60	ac24486e719028c654916b3aa2419a50	5	NaN	NaN	2017-07-28	2017-07-29 14:03:58	la_cuisine	49.0	554.0	1.0	1750.0	95.0	9.0	37.0	89701	Concordia	SC	La Cuisine	1	5.0	-15.0	31635.0	2017	2017-07	17	Jul	Sat
115604	30b0ea32347476f4b427daf62e09a5bb	9d9cfbce48737214f23bf294daf3c6f7	delivered	2017-08-12 19:20:39	2017-08-12 19:30:17	2017-08-14 18:26:28	2017-08-17 18:28:10	2017-09-05	6c861f46d09c560422f6ba6b33c017fe	9371	Maua	SP	1	b52e7c92200ed9874e77bc09b5ed4d40	c731d18cea9bf687ffee82a241c25b11	2017-08-17 19:30:17	174.00	39.06	1	Credit Card	5	213.06	fdbbec4b750e768ac12c054acd906d1d	5	NaN	NaN	2017-08-18	2017-08-19 20:09:58	la_cuisine	57.0	232.0	1.0	7600.0	55.0	15.0	55.0	89701	Concordia	SC	La Cuisine	1	4.0	-19.0	45375.0	2017	2017-08	19	Aug	Sat
115605	1ce0acf125f1bcd636276dd213363196	d11524bb77c28efad04e4467eac8a660	delivered	2017-07-31 18:10:29	2017-07-31 18:25:20	2017-08-02 18:22:30	2017-08-09 20:38:07	2017-08-28	6968d41eb700f1ea39424e04b854bf7e	30130	Belo Horizonte	MG	1	cc9e875c2df286dbed83efe01191162c	c731d18cea9bf687ffee82a241c25b11	2017-08-04 18:25:20	129.00	26.18	1	Credit Card	2	55.18	4dc7a70acb9d9eeeb1db4e74f88b2e9b	5	NaN	Recomendo	2017-08-10	2017-08-13 17:29:51	la_cuisine	57.0	429.0	1.0	2700.0	85.0	7.0	40.0	89701	Concordia	SC	La Cuisine	3	9.0	-19.0	23800.0	2017	2017-07	18	Jul	Mon
115606	1ce0acf125f1bcd636276dd213363196	d11524bb77c28efad04e4467eac8a660	delivered	2017-07-31 18:10:29	2017-07-31 18:25:20	2017-08-02 18:22:30	2017-08-09 20:38:07	2017-08-28	6968d41eb700f1ea39424e04b854bf7e	30130	Belo Horizonte	MG	1	cc9e875c2df286dbed83efe01191162c	c731d18cea9bf687ffee82a241c25b11	2017-08-04 18:25:20	129.00	26.18	2	Voucher	1	100.00	4dc7a70acb9d9eeeb1db4e74f88b2e9b	5	NaN	Recomendo	2017-08-10	2017-08-13 17:29:51	la_cuisine	57.0	429.0	1.0	2700.0	85.0	7.0	40.0	89701	Concordia	SC	La Cuisine	3	9.0	-19.0	23800.0	2017	2017-07	18	Jul	Mon
115607	c72888e51a36defb7b5d49201fcbccf7	c3cd86c3cbac654f8558a8286ba93c1c	delivered	2017-07-11 10:45:57	2017-07-11 10:55:14	2017-07-11 19:14:48	2017-07-19 17:27:43	2017-08-04	d8b80a0bd7560fab10e804f36d99fe33	90220	Porto Alegre	RS	1	724c49c346d2979339d366fa59ce49de	3078096983cf766a32a06257648502d1	2017-07-17 10:55:14	119.99	27.16	1	Credit Card	1	47.15	80d6f91212fb5216bfc90feddee75581	5	NaN	Recebi corretamente o produto no prazo estipulado.	2017-07-20	2017-07-21 13:13:33	la_cuisine	33.0	532.0	1.0	3600.0	30.0	30.0	30.0	13720	Scao Jose Do Rio Pardo	SP	La Cuisine	1	8.0	-16.0	27000.0	2017	2017-07	10	Jul	Tue
115608	c72888e51a36defb7b5d49201fcbccf7	c3cd86c3cbac654f8558a8286ba93c1c	delivered	2017-07-11 10:45:57	2017-07-11 10:55:14	2017-07-11 19:14:48	2017-07-19 17:27:43	2017-08-04	d8b80a0bd7560fab10e804f36d99fe33	90220	Porto Alegre	RS	1	724c49c346d2979339d366fa59ce49de	3078096983cf766a32a06257648502d1	2017-07-17 10:55:14	119.99	27.16	2	Voucher	1	100.00	80d6f91212fb5216bfc90feddee75581	5	NaN	Recebi corretamente o produto no prazo estipulado.	2017-07-20	2017-07-21 13:13:33	la_cuisine	33.0	532.0	1.0	3600.0	30.0	30.0	30.0	13720	Scao Jose Do Rio Pardo	SP	La Cuisine	1	8.0	-16.0	27000.0	2017	2017-07	10	Jul	Tue

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Space Separator

Dash Punctuation

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters